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@ImranAli01

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5.0
114

6.4

6.4

100%

AI & Automation | Python -ML -n8n -PowerBI -Excel

$20 USD / Hour

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Flag of PAKISTAN

Pakistan (2:06 AM)

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Joined on January 16, 2023

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2 Recommendations

$20 USD / Hour

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Hi, With over 10 years of experience, I help businesses automate operations, analyze complex data, and build AI-powered solutions that improve efficiency and support better decision-making. I specialize in combining Data Science, Machine Learning, AI Automation, and Business Intelligence to deliver practical solutions for startups, enterprises, researchers, and growing businesses. My core expertise are: 🔹 AI Automation & Workflow Development: – AI agents and business process automation – n8n, Python, OpenAI, Groq, LangChain – API integrations and workflow automation – CRM, Gmail, Google Workspace, Slack, Airtable, Notion automation – RAG (Retrieval-Augmented Generation) chatbots – Internal AI assistants and knowledge bases 🔹Machine Learning & Predictive Analytics: – Regression & Classification Models – Forecasting (ARIMA, SARIMA, Prophet) – Customer analytics – Predictive modeling – Time-series analysis – Feature engineering – Model evaluation and optimization 🔹Data Science & Analytics: – Data cleaning and preprocessing – Statistical analysis – Research methodology – Quantitative & qualitative analysis – Survey data analysis – Business intelligence – Decision support reporting 🔹Data Collection & Processing: – Web scraping using Selenium, BeautifulSoup & Pandas – Data extraction and transformation – ETL pipelines – CSV, Excel and database automation – Market research and data collection 🔹Dashboards & Reporting: – Power BI – Tableau – Excel Automation (VBA) – Google Sheets Automation – Interactive KPI dashboards – Executive reporting – Automated reporting systems – Tools & Technologies ⦿ Programming: Python, R, SQL, VBA ⦿ AI & Automation: OpenAI API, Groq API, LangChain, n8n, Vector Databases, REST APIs ⦿ Machine Learning: Scikit-learn, Statsmodels, Prophet, Pandas, NumPy ⦿ Visualization: Power BI, Tableau, Plotly, Matplotlib, Google Looker Studio ⦿ Research & Statistics: SPSS, STATA, JASP, JMP, NVivo, EViews, Minitab 🔹 Why Work With Me? - 10+ years of professional experience - Business-focused AI solutions - Clean, scalable, and well-documented code - Strong communication throughout the project - Reliable delivery with attention to detail - Long-term support after project completion Whether you need an AI-powered automation workflow, predictive analytics solution, business dashboard, chatbot, research analysis, or a complete data pipeline, I can help transform your ideas into reliable, production-ready solutions. Let's discuss your project and build something that delivers measurable results. Best Regards, Imran Ali.

AI Automation for Real Estate Workflow

My business processes were fragmented and hard to scale until I hired Imran on Freelancer. Using AI Automation, n8n, Make.com, API integrations, OpenAI, CRM workflows, Airtable, and REST APIs, he built an intelligent lead management system that streamlined my operations. What was once complex is now automated, scalable, and far more efficient. Highly recommended!

Flag of GERMANY

Kuku

@kukud7

・

July 2026

Verifications

On time

100%

On budget

97%

Accept rate

82%

Repeat hire rate

18%

Freelancer Python Developers Pakistan
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Portfolio

Portfolio

13997663
This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

13997740
This project involved building a fully automated Lead Scraper and Daily Reporting Pipeline using Python, BeautifulSoup, Groq AI (Llama 3.1), Google Sheets API, and Gmail SMTP. I developed a modular automation system that scraped AI-related job listings from We Work Remotely, filtered relevant opportunities using intelligent keyword matching, and leveraged LLM-powered data extraction to identify required skills, experience, and locations. Processed job leads were automatically archived in Google Sheets and summarized into professional daily email reports. Secure API integration, environment-based credential management, and scalable architecture delivered a reliable web scraping, AI automation, job intelligence, and workflow automation solution.

Python Lead Scraper Automation

This project involved building a fully automated Lead Scraper and Daily Reporting Pipeline using Python, BeautifulSoup, Groq AI (Llama 3.1), Google Sheets API, and Gmail SMTP. I developed a modular automation system that scraped AI-related job listings from We Work Remotely, filtered relevant opportunities using intelligent keyword matching, and leveraged LLM-powered data extraction to identify required skills, experience, and locations. Processed job leads were automatically archived in Google Sheets and summarized into professional daily email reports. Secure API integration, environment-based credential management, and scalable architecture delivered a reliable web scraping, AI automation, job intelligence, and workflow automation solution.

Python Lead Scraper Automation

This project involved building a fully automated Lead Scraper and Daily Reporting Pipeline using Python, BeautifulSoup, Groq AI (Llama 3.1), Google Sheets API, and Gmail SMTP. I developed a modular automation system that scraped AI-related job listings from We Work Remotely, filtered relevant opportunities using intelligent keyword matching, and leveraged LLM-powered data extraction to identify required skills, experience, and locations. Processed job leads were automatically archived in Google Sheets and summarized into professional daily email reports. Secure API integration, environment-based credential management, and scalable architecture delivered a reliable web scraping, AI automation, job intelligence, and workflow automation solution.

Python Lead Scraper Automation

This project involved building a fully automated Lead Scraper and Daily Reporting Pipeline using Python, BeautifulSoup, Groq AI (Llama 3.1), Google Sheets API, and Gmail SMTP. I developed a modular automation system that scraped AI-related job listings from We Work Remotely, filtered relevant opportunities using intelligent keyword matching, and leveraged LLM-powered data extraction to identify required skills, experience, and locations. Processed job leads were automatically archived in Google Sheets and summarized into professional daily email reports. Secure API integration, environment-based credential management, and scalable architecture delivered a reliable web scraping, AI automation, job intelligence, and workflow automation solution.

Python Lead Scraper Automation

13997723
This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

13997679
This project involved designing and developing an interactive Power BI Customer Churn Prediction Dashboard to analyze customer behavior, retention trends, and churn risk. Using Power BI, Power Query, DAX formulas, data modeling, KPI cards, funnel charts, donut charts, and interactive visualizations, I automated data transformation, cleaning, and reporting processes. The dashboard provides real-time insights into churn rate analysis, customer retention, contract segmentation, gender distribution, and customer loss metrics. I created dynamic measures, relationships, and drill-down reports to help stakeholders identify churn patterns and make data-driven decisions. The solution improved reporting efficiency, visualization quality, and business intelligence capabilities.

Custom Microsoft Power BI dashboard

This project involved designing and developing an interactive Power BI Customer Churn Prediction Dashboard to analyze customer behavior, retention trends, and churn risk. Using Power BI, Power Query, DAX formulas, data modeling, KPI cards, funnel charts, donut charts, and interactive visualizations, I automated data transformation, cleaning, and reporting processes. The dashboard provides real-time insights into churn rate analysis, customer retention, contract segmentation, gender distribution, and customer loss metrics. I created dynamic measures, relationships, and drill-down reports to help stakeholders identify churn patterns and make data-driven decisions. The solution improved reporting efficiency, visualization quality, and business intelligence capabilities.

Custom Microsoft Power BI dashboard

This project involved designing and developing an interactive Power BI Customer Churn Prediction Dashboard to analyze customer behavior, retention trends, and churn risk. Using Power BI, Power Query, DAX formulas, data modeling, KPI cards, funnel charts, donut charts, and interactive visualizations, I automated data transformation, cleaning, and reporting processes. The dashboard provides real-time insights into churn rate analysis, customer retention, contract segmentation, gender distribution, and customer loss metrics. I created dynamic measures, relationships, and drill-down reports to help stakeholders identify churn patterns and make data-driven decisions. The solution improved reporting efficiency, visualization quality, and business intelligence capabilities.

Custom Microsoft Power BI dashboard

13997914
This project involved designing and implementing a WhatsApp Chatbot Automation Workflow using n8n, PostgreSQL, and the WhatsApp Business API to streamline property management support. I built a stateful, event-driven chatbot capable of user authentication, multi-step ticket creation, attachment handling, session management, and automated confirmations. The workflow utilized conditional routing, database persistence, and modular node architecture to deliver seamless conversational experiences while maintaining data integrity. Designed for scalability and easy maintenance, the solution automated customer support, ticket management, and user onboarding, providing an efficient low-code automation, workflow automation, chatbot development, and business process automation system.

Chatbot Automation Workflow with N8N

This project involved designing and implementing a WhatsApp Chatbot Automation Workflow using n8n, PostgreSQL, and the WhatsApp Business API to streamline property management support. I built a stateful, event-driven chatbot capable of user authentication, multi-step ticket creation, attachment handling, session management, and automated confirmations. The workflow utilized conditional routing, database persistence, and modular node architecture to deliver seamless conversational experiences while maintaining data integrity. Designed for scalability and easy maintenance, the solution automated customer support, ticket management, and user onboarding, providing an efficient low-code automation, workflow automation, chatbot development, and business process automation system.

Chatbot Automation Workflow with N8N

This project involved designing and implementing a WhatsApp Chatbot Automation Workflow using n8n, PostgreSQL, and the WhatsApp Business API to streamline property management support. I built a stateful, event-driven chatbot capable of user authentication, multi-step ticket creation, attachment handling, session management, and automated confirmations. The workflow utilized conditional routing, database persistence, and modular node architecture to deliver seamless conversational experiences while maintaining data integrity. Designed for scalability and easy maintenance, the solution automated customer support, ticket management, and user onboarding, providing an efficient low-code automation, workflow automation, chatbot development, and business process automation system.

Chatbot Automation Workflow with N8N

This project involved designing and implementing a WhatsApp Chatbot Automation Workflow using n8n, PostgreSQL, and the WhatsApp Business API to streamline property management support. I built a stateful, event-driven chatbot capable of user authentication, multi-step ticket creation, attachment handling, session management, and automated confirmations. The workflow utilized conditional routing, database persistence, and modular node architecture to deliver seamless conversational experiences while maintaining data integrity. Designed for scalability and easy maintenance, the solution automated customer support, ticket management, and user onboarding, providing an efficient low-code automation, workflow automation, chatbot development, and business process automation system.

Chatbot Automation Workflow with N8N

This project involved designing and implementing a WhatsApp Chatbot Automation Workflow using n8n, PostgreSQL, and the WhatsApp Business API to streamline property management support. I built a stateful, event-driven chatbot capable of user authentication, multi-step ticket creation, attachment handling, session management, and automated confirmations. The workflow utilized conditional routing, database persistence, and modular node architecture to deliver seamless conversational experiences while maintaining data integrity. Designed for scalability and easy maintenance, the solution automated customer support, ticket management, and user onboarding, providing an efficient low-code automation, workflow automation, chatbot development, and business process automation system.

Chatbot Automation Workflow with N8N

13997829
This project involved developing an AI-Powered Research Automation Pipeline using n8n, RSS feeds, Groq AI (Llama 3.1), Google Sheets API, and Gmail API. I designed an end-to-end workflow that automatically monitored trusted digital publications, processed new articles in batches, and generated AI-powered summaries with key insights and technical highlights. Processed research was automatically archived in Google Sheets with deduplication logic, while professionally formatted HTML reports were delivered via email to stakeholders. Built with scalable workflow automation, intelligent content processing, and secure API integrations, the solution streamlined research automation, content monitoring, AI summarization, and automated reporting for real-time decision-making.

AI-Powered Research Automation

This project involved developing an AI-Powered Research Automation Pipeline using n8n, RSS feeds, Groq AI (Llama 3.1), Google Sheets API, and Gmail API. I designed an end-to-end workflow that automatically monitored trusted digital publications, processed new articles in batches, and generated AI-powered summaries with key insights and technical highlights. Processed research was automatically archived in Google Sheets with deduplication logic, while professionally formatted HTML reports were delivered via email to stakeholders. Built with scalable workflow automation, intelligent content processing, and secure API integrations, the solution streamlined research automation, content monitoring, AI summarization, and automated reporting for real-time decision-making.

AI-Powered Research Automation

This project involved developing an AI-Powered Research Automation Pipeline using n8n, RSS feeds, Groq AI (Llama 3.1), Google Sheets API, and Gmail API. I designed an end-to-end workflow that automatically monitored trusted digital publications, processed new articles in batches, and generated AI-powered summaries with key insights and technical highlights. Processed research was automatically archived in Google Sheets with deduplication logic, while professionally formatted HTML reports were delivered via email to stakeholders. Built with scalable workflow automation, intelligent content processing, and secure API integrations, the solution streamlined research automation, content monitoring, AI summarization, and automated reporting for real-time decision-making.

AI-Powered Research Automation

This project involved developing an AI-Powered Research Automation Pipeline using n8n, RSS feeds, Groq AI (Llama 3.1), Google Sheets API, and Gmail API. I designed an end-to-end workflow that automatically monitored trusted digital publications, processed new articles in batches, and generated AI-powered summaries with key insights and technical highlights. Processed research was automatically archived in Google Sheets with deduplication logic, while professionally formatted HTML reports were delivered via email to stakeholders. Built with scalable workflow automation, intelligent content processing, and secure API integrations, the solution streamlined research automation, content monitoring, AI summarization, and automated reporting for real-time decision-making.

AI-Powered Research Automation

13997663
This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

This project involved developing a fully automated Excel Budget Planner Dashboard using Microsoft Excel Automation, advanced Excel formulas, Pivot Tables, Pivot Charts, Data Validation, Conditional Formatting, and interactive dashboards. I designed multiple worksheets for income tracking, expense management, savings, debt monitoring, net worth analysis, investment forecasting, and annual summaries. Dynamic charts, KPI cards, category breakdowns, and automated calculations provided real-time financial insights with minimal manual input. The workbook was optimized for accuracy, usability, and performance, enabling efficient personal finance management, budget analysis, financial reporting, and decision-making through a professional, user-friendly Excel dashboard and financial automation solution.

Excel Automation and Dashboard

13997740
This project involved building a fully automated Lead Scraper and Daily Reporting Pipeline using Python, BeautifulSoup, Groq AI (Llama 3.1), Google Sheets API, and Gmail SMTP. I developed a modular automation system that scraped AI-related job listings from We Work Remotely, filtered relevant opportunities using intelligent keyword matching, and leveraged LLM-powered data extraction to identify required skills, experience, and locations. Processed job leads were automatically archived in Google Sheets and summarized into professional daily email reports. Secure API integration, environment-based credential management, and scalable architecture delivered a reliable web scraping, AI automation, job intelligence, and workflow automation solution.

Python Lead Scraper Automation

This project involved building a fully automated Lead Scraper and Daily Reporting Pipeline using Python, BeautifulSoup, Groq AI (Llama 3.1), Google Sheets API, and Gmail SMTP. I developed a modular automation system that scraped AI-related job listings from We Work Remotely, filtered relevant opportunities using intelligent keyword matching, and leveraged LLM-powered data extraction to identify required skills, experience, and locations. Processed job leads were automatically archived in Google Sheets and summarized into professional daily email reports. Secure API integration, environment-based credential management, and scalable architecture delivered a reliable web scraping, AI automation, job intelligence, and workflow automation solution.

Python Lead Scraper Automation

This project involved building a fully automated Lead Scraper and Daily Reporting Pipeline using Python, BeautifulSoup, Groq AI (Llama 3.1), Google Sheets API, and Gmail SMTP. I developed a modular automation system that scraped AI-related job listings from We Work Remotely, filtered relevant opportunities using intelligent keyword matching, and leveraged LLM-powered data extraction to identify required skills, experience, and locations. Processed job leads were automatically archived in Google Sheets and summarized into professional daily email reports. Secure API integration, environment-based credential management, and scalable architecture delivered a reliable web scraping, AI automation, job intelligence, and workflow automation solution.

Python Lead Scraper Automation

This project involved building a fully automated Lead Scraper and Daily Reporting Pipeline using Python, BeautifulSoup, Groq AI (Llama 3.1), Google Sheets API, and Gmail SMTP. I developed a modular automation system that scraped AI-related job listings from We Work Remotely, filtered relevant opportunities using intelligent keyword matching, and leveraged LLM-powered data extraction to identify required skills, experience, and locations. Processed job leads were automatically archived in Google Sheets and summarized into professional daily email reports. Secure API integration, environment-based credential management, and scalable architecture delivered a reliable web scraping, AI automation, job intelligence, and workflow automation solution.

Python Lead Scraper Automation

13997723
This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

This project involved developing a Machine Learning Rain Prediction Model using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to analyze historical weather data from the UK’s highest rainfall county. I performed data cleaning, exploratory data analysis (EDA), feature engineering, outlier detection, and correlation analysis to improve data quality. Multiple machine learning algorithms, including Linear Regression, Ridge Regression, Random Forest, and Logistic Regression, were trained, evaluated, and optimized using GridSearchCV. Model performance was measured with MAE, RMSE, accuracy, precision, and recall, delivering reliable rainfall predictions through a scalable, data-driven predictive analytics solution.

Machine Learning Model Development

13997679
This project involved designing and developing an interactive Power BI Customer Churn Prediction Dashboard to analyze customer behavior, retention trends, and churn risk. Using Power BI, Power Query, DAX formulas, data modeling, KPI cards, funnel charts, donut charts, and interactive visualizations, I automated data transformation, cleaning, and reporting processes. The dashboard provides real-time insights into churn rate analysis, customer retention, contract segmentation, gender distribution, and customer loss metrics. I created dynamic measures, relationships, and drill-down reports to help stakeholders identify churn patterns and make data-driven decisions. The solution improved reporting efficiency, visualization quality, and business intelligence capabilities.

Custom Microsoft Power BI dashboard

This project involved designing and developing an interactive Power BI Customer Churn Prediction Dashboard to analyze customer behavior, retention trends, and churn risk. Using Power BI, Power Query, DAX formulas, data modeling, KPI cards, funnel charts, donut charts, and interactive visualizations, I automated data transformation, cleaning, and reporting processes. The dashboard provides real-time insights into churn rate analysis, customer retention, contract segmentation, gender distribution, and customer loss metrics. I created dynamic measures, relationships, and drill-down reports to help stakeholders identify churn patterns and make data-driven decisions. The solution improved reporting efficiency, visualization quality, and business intelligence capabilities.

Custom Microsoft Power BI dashboard

This project involved designing and developing an interactive Power BI Customer Churn Prediction Dashboard to analyze customer behavior, retention trends, and churn risk. Using Power BI, Power Query, DAX formulas, data modeling, KPI cards, funnel charts, donut charts, and interactive visualizations, I automated data transformation, cleaning, and reporting processes. The dashboard provides real-time insights into churn rate analysis, customer retention, contract segmentation, gender distribution, and customer loss metrics. I created dynamic measures, relationships, and drill-down reports to help stakeholders identify churn patterns and make data-driven decisions. The solution improved reporting efficiency, visualization quality, and business intelligence capabilities.

Custom Microsoft Power BI dashboard

13997914
This project involved designing and implementing a WhatsApp Chatbot Automation Workflow using n8n, PostgreSQL, and the WhatsApp Business API to streamline property management support. I built a stateful, event-driven chatbot capable of user authentication, multi-step ticket creation, attachment handling, session management, and automated confirmations. The workflow utilized conditional routing, database persistence, and modular node architecture to deliver seamless conversational experiences while maintaining data integrity. Designed for scalability and easy maintenance, the solution automated customer support, ticket management, and user onboarding, providing an efficient low-code automation, workflow automation, chatbot development, and business process automation system.

Chatbot Automation Workflow with N8N

This project involved designing and implementing a WhatsApp Chatbot Automation Workflow using n8n, PostgreSQL, and the WhatsApp Business API to streamline property management support. I built a stateful, event-driven chatbot capable of user authentication, multi-step ticket creation, attachment handling, session management, and automated confirmations. The workflow utilized conditional routing, database persistence, and modular node architecture to deliver seamless conversational experiences while maintaining data integrity. Designed for scalability and easy maintenance, the solution automated customer support, ticket management, and user onboarding, providing an efficient low-code automation, workflow automation, chatbot development, and business process automation system.

Chatbot Automation Workflow with N8N

This project involved designing and implementing a WhatsApp Chatbot Automation Workflow using n8n, PostgreSQL, and the WhatsApp Business API to streamline property management support. I built a stateful, event-driven chatbot capable of user authentication, multi-step ticket creation, attachment handling, session management, and automated confirmations. The workflow utilized conditional routing, database persistence, and modular node architecture to deliver seamless conversational experiences while maintaining data integrity. Designed for scalability and easy maintenance, the solution automated customer support, ticket management, and user onboarding, providing an efficient low-code automation, workflow automation, chatbot development, and business process automation system.

Chatbot Automation Workflow with N8N

This project involved designing and implementing a WhatsApp Chatbot Automation Workflow using n8n, PostgreSQL, and the WhatsApp Business API to streamline property management support. I built a stateful, event-driven chatbot capable of user authentication, multi-step ticket creation, attachment handling, session management, and automated confirmations. The workflow utilized conditional routing, database persistence, and modular node architecture to deliver seamless conversational experiences while maintaining data integrity. Designed for scalability and easy maintenance, the solution automated customer support, ticket management, and user onboarding, providing an efficient low-code automation, workflow automation, chatbot development, and business process automation system.

Chatbot Automation Workflow with N8N

This project involved designing and implementing a WhatsApp Chatbot Automation Workflow using n8n, PostgreSQL, and the WhatsApp Business API to streamline property management support. I built a stateful, event-driven chatbot capable of user authentication, multi-step ticket creation, attachment handling, session management, and automated confirmations. The workflow utilized conditional routing, database persistence, and modular node architecture to deliver seamless conversational experiences while maintaining data integrity. Designed for scalability and easy maintenance, the solution automated customer support, ticket management, and user onboarding, providing an efficient low-code automation, workflow automation, chatbot development, and business process automation system.

Chatbot Automation Workflow with N8N

13997829
This project involved developing an AI-Powered Research Automation Pipeline using n8n, RSS feeds, Groq AI (Llama 3.1), Google Sheets API, and Gmail API. I designed an end-to-end workflow that automatically monitored trusted digital publications, processed new articles in batches, and generated AI-powered summaries with key insights and technical highlights. Processed research was automatically archived in Google Sheets with deduplication logic, while professionally formatted HTML reports were delivered via email to stakeholders. Built with scalable workflow automation, intelligent content processing, and secure API integrations, the solution streamlined research automation, content monitoring, AI summarization, and automated reporting for real-time decision-making.

AI-Powered Research Automation

This project involved developing an AI-Powered Research Automation Pipeline using n8n, RSS feeds, Groq AI (Llama 3.1), Google Sheets API, and Gmail API. I designed an end-to-end workflow that automatically monitored trusted digital publications, processed new articles in batches, and generated AI-powered summaries with key insights and technical highlights. Processed research was automatically archived in Google Sheets with deduplication logic, while professionally formatted HTML reports were delivered via email to stakeholders. Built with scalable workflow automation, intelligent content processing, and secure API integrations, the solution streamlined research automation, content monitoring, AI summarization, and automated reporting for real-time decision-making.

AI-Powered Research Automation

This project involved developing an AI-Powered Research Automation Pipeline using n8n, RSS feeds, Groq AI (Llama 3.1), Google Sheets API, and Gmail API. I designed an end-to-end workflow that automatically monitored trusted digital publications, processed new articles in batches, and generated AI-powered summaries with key insights and technical highlights. Processed research was automatically archived in Google Sheets with deduplication logic, while professionally formatted HTML reports were delivered via email to stakeholders. Built with scalable workflow automation, intelligent content processing, and secure API integrations, the solution streamlined research automation, content monitoring, AI summarization, and automated reporting for real-time decision-making.

AI-Powered Research Automation

This project involved developing an AI-Powered Research Automation Pipeline using n8n, RSS feeds, Groq AI (Llama 3.1), Google Sheets API, and Gmail API. I designed an end-to-end workflow that automatically monitored trusted digital publications, processed new articles in batches, and generated AI-powered summaries with key insights and technical highlights. Processed research was automatically archived in Google Sheets with deduplication logic, while professionally formatted HTML reports were delivered via email to stakeholders. Built with scalable workflow automation, intelligent content processing, and secure API integrations, the solution streamlined research automation, content monitoring, AI summarization, and automated reporting for real-time decision-making.

AI-Powered Research Automation

5.0 · 114 Reviews
114 Reviews
E
Flag of UNITED KINGDOM

Ella

5.0

$500 USD

36 minutes ago

AI Chatbot & Python Dev for E-commerce Workflow

Fantastic job

Python
eCommerce
Automation
Chatbot
FastAPI

+5 more

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M
Flag of UNITED ARAB EMIRATES

Mohammed

5.0

$$

6 days ago

Expert Analyst for Data Cleaning & Visualization

A highly dependable data analytics professional who exceeded expectations. They transformed raw data into meaningful insights using SPSS, R, and Python, delivering clean datasets, reproducible code, accurate statistical analysis, and polished visualizations. Their expertise in EDA, regression, hypothesis testing, predictive analytics, and reporting made the entire process smooth. Reliable, detail-oriented, and a pleasure to work with.

Statistics
Machine Learning (ML)
Statistical Analysis
SPSS Statistics
Data Analytics

+5 more

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U
Flag of CHINA

Haoyuan

5.0

$$

21 days ago

Operations Automation for Customer Support Service

By integrating Make.com, Monday.com, and Twilio, he built a scalable workflow that automated many of the repetitive tasks across my business. The entire process was well organized, and he and his team were responsive, easy to work with, and proactive in suggesting practical improvements along the way. I would definitely recommend OneClick to anyone looking for reliable AI and business automation expertise.

Data Processing
Excel
Artificial Intelligence
Excel VBA
Excel Macros

+5 more

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K
Flag of GERMANY

Kuku

5.0

$$

26 days ago

AI Automation for Real Estate Workflow

My business processes were fragmented and hard to scale until I hired Imran on Freelancer. Using AI Automation, n8n, Make.com, API integrations, OpenAI, CRM workflows, Airtable, and REST APIs, he built an intelligent lead management system that streamlined my operations. What was once complex is now automated, scalable, and far more efficient. Highly recommended!

PHP
Python
Software Architecture
CRM
HTML

+5 more

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U
Flag of CHINA

Haoyuan

5.0

$500 USD

1 month ago

Phase 2 Core Sync Engine

Oneclick tackled Phase 2 which was the final phase of the project, with the same dedication, delivering exceptional results for our Salesforce NetSuite integration pipeline. They engineered a containerized Python business process automation worker ready for AWS ECS cloud native orchestration. When complex data schema mismatch bumps appeared, they perfectly addressed them with robust REST API mapping logic.

Python
Amazon Web Services
Hadoop
PostgreSQL
Elasticsearch

+3 more

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Education

Master's in Statistics, University of Karachi

2015 - 2017

•

2 years

Flag of PAKISTAN

Pakistan

2015 - 2017

•

2 years

Bachelor of Science (BS), Statistics from National University of Modern Languages (NUML)

2007 - 2011

•

4 years

Flag of PAKISTAN

Pakistan

2007 - 2011

•

4 years

Certifications

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Freelancer Orientation

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