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Big Data Sales is a dynamic field which specializes in the collection, organization, and analytical viewing of data, which provides key insights into the market trends, customer preferences, and other key industry info. The data obtained from these processes can then be used to optimize sales performance and strategy. A Big Data Salesperson is tasked with utilizing the critical responses from data sets and making knowledgeable decisions that have tangible impacts to their company’s sales potential.
Data collection, storage and analysis are all core skills in Big Data Sales. A skilled Big Data Salesperson will be continuously developing predictive models that focus on customer buying behaviors to optimize marketing campaigns and increase overall efficiency. They will also be proficient in software solutions such as Microsoft Excel, Power BI Business Intelligence Software, Tableau, Python and SQL/NoSQL to leverage collected data for optimum insight on the target market. These insights can then be leveraged for appropriate targeted campaigns within the market to give thema competitive edge over their opposition.
Using the essential combination of technology, skill and expertise from a professional Big Data Salesperson unlocks the potential of a company’s sales potential – helping them stay ahead of their competition by leveraging relevant insights gained from analyzed data sets.
Here’s some projects that our expert Big Data Salesperson made real:
Big Data Sales can ultimately help increase a business’ productivity and profitability levels significantly. Using an experienced Big Data Salesperson has the power to guide a business towards more efficient digital solutions that are crafted using precise information gathered from industry data sets. We invite you to post your project on Freelancer.com today and hire an experienced Big Data Salesperson who can help turn your goals into reality.
Conform celor 54,197 recenzii, clienții îi evaluează pe Big Data Salespeople cu 4.81 din 5 stele.Big Data Sales is a dynamic field which specializes in the collection, organization, and analytical viewing of data, which provides key insights into the market trends, customer preferences, and other key industry info. The data obtained from these processes can then be used to optimize sales performance and strategy. A Big Data Salesperson is tasked with utilizing the critical responses from data sets and making knowledgeable decisions that have tangible impacts to their company’s sales potential.
Data collection, storage and analysis are all core skills in Big Data Sales. A skilled Big Data Salesperson will be continuously developing predictive models that focus on customer buying behaviors to optimize marketing campaigns and increase overall efficiency. They will also be proficient in software solutions such as Microsoft Excel, Power BI Business Intelligence Software, Tableau, Python and SQL/NoSQL to leverage collected data for optimum insight on the target market. These insights can then be leveraged for appropriate targeted campaigns within the market to give thema competitive edge over their opposition.
Using the essential combination of technology, skill and expertise from a professional Big Data Salesperson unlocks the potential of a company’s sales potential – helping them stay ahead of their competition by leveraging relevant insights gained from analyzed data sets.
Here’s some projects that our expert Big Data Salesperson made real:
Big Data Sales can ultimately help increase a business’ productivity and profitability levels significantly. Using an experienced Big Data Salesperson has the power to guide a business towards more efficient digital solutions that are crafted using precise information gathered from industry data sets. We invite you to post your project on Freelancer.com today and hire an experienced Big Data Salesperson who can help turn your goals into reality.
Conform celor 54,197 recenzii, clienții îi evaluează pe Big Data Salespeople cu 4.81 din 5 stele.Title: Looking for Python, SQL & DSA Tutor – From Basics to Advanced (LeetCode Focus) Job Description: I am looking for an experienced Python, SQL, and Data Structures & Algorithms (DSA) mentor who can train me from basic to advanced level with a strong focus on logic building and problem-solving. The main goal of this training is to help me confidently solve LeetCode problems (easy to medium and gradually hard) and prepare for coding rounds and technical interviews using Python. Key Requirements: Strong knowledge of Python programming Ability to teach Data Structures & Algorithms (DSA) in Python Good understanding of SQL (basic to advanced) Experience with LeetCode-style problems and coding interviews Ability to explain concepts from scratch and build problem-so...
I have a raw sales dataset covering several regions and product lines, and I need a clear descriptive analysis that tells the story of what has happened so far. Your task is to clean the data, calculate the key metrics (totals, averages, YoY and MoM growth, seasonality, top-performing SKUs, regional splits), and present the findings in an easy-to-digest format. Because this is strictly a descriptive project—no predictive or prescriptive modeling—clarity and accuracy matter more than complex algorithms. A well-structured SQL query, Python (pandas, matplotlib, seaborn) or R (dplyr, ggplot2) workflow is fine, as long as I can rerun it with future data. Please draw on your experience with similar sales data projects when you respond; that will be the deciding factor. Deliverables...
Hello, My name is Víctor and I am looking for a reliable freelancer who can assist me on an ongoing technical project. I want to explain clearly the context, the technologies, and what I need, so you can evaluate if the collaboration fits you. About the Project I’m currently working on a large and complex data-engineering / backend automation project involving: Technologies involved Google Cloud Python testing. Python (ETLs, tests, refactoring, data pipelines) CI/CD tools: Jenkins, Bitbucket, Artifactory Cloud environments: Google Cloud Platform, Azure Containers and dependencies SQL / PL-SQL Data validation and business logic implementation The project has multiple ETLs and dashboards, and some modules were already developed by previous freelancers. I need help valid...
I live in a village where nobody is selling mobile credit (pulsa) yet the demand is constant. I already have a reliable pulsa-selling application, the know-how to operate it, and a customer base waiting—what I lack is the actual device to run it on. What I’m looking for is straightforward: a working smartphone that can handle my chosen app and maintain a stable internet connection. Supplying or financing this phone is the core request. Once I receive it, I’ll install the app (or let you pre-install it), top up the balance, and start serving our community immediately. I’m open to different partnership models—whether you simply provide the phone as a one-off deliverable or prefer an ongoing profit-sharing arrangement. All technical setup beyond the hardware is...
I need a robust big-data workflow that will let me uncover how customers across Latin America actually buy. The primary aim is to analyze customer behavior, zeroing in on purchase patterns. For phase one the only source on hand is a wide set of structured and unstructured customer surveys gathered in Spanish and Portuguese markets. The job is to clean, standardize, and load these surveys into an environment that supports high-volume processing (Spark, Hadoop, or an equivalent cloud stack you favour). Once the data is stable, I want exploratory analysis, clustering, and predictive modelling that highlight: • Which demographic segments purchase which categories most frequently • Seasonal or regional spikes in demand • Correlations between stated preferences and actual...
Bank Loan ETL & Visualization Project Report 1. Abstract This project builds a complete ETL (Extract, Transform, Load) pipeline for bank loan analytics using PySpark and Python. It cleans, validates, and integrates branch, customer, and loan datasets into a unified master table. The pipeline standardizes financial data, generates analytical insights, and prepares the output for reporting and automated financial analysis. 2. Technologies Used Python PySpark Pandas Matplotlib CSV Files Java JDK (required for Spark) 3. Dataset Description This project uses three CSV datasets: – Branch details (branch_id, branch_name, branch_state) – Customer demographic information – Loan records linked to customers and branches 4. ETL Workflow The pipeline includes the following st...
Project Overview: We are looking for an experienced Machine Learning Engineer specialized in audio processing and deep learning. The goal is to design, train, and deploy a high-performance AMD (Answering Machine Detection) model for telephony, using an existing dataset of approximately 67,000 labeled audio samples. The model must operate in real-time with low latency, and integrate into our existing calling infrastructure (Drachtio / Asterisk / FreeSWITCH / Vicidial). Mission Responsibilities: Analyze and preprocess the existing dataset (cleaning, balancing, train/val/test split) Extract audio features such as Mel-spectrograms, MFCC, STFT, normalization Design and train a CNN/CRNN model for AMD classification (Human / Voicemail / Silence / Fax / Other if needed) Optimize the model for...
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