Exploatarea Datelor Jobs

I need reliable help turning online data into paying customers. Your main focus will be to scrape fresh business-contact leads from LinkedIn, Google and other social-media channels, then reach out cold, nurture the conversations, and hand over qualified prospects ready to talk business. I will supply basic criteria and messaging guidelines; you handle the rest—research, data cleaning, personalised outreach, follow-ups, and progress tracking. Because the timeline is flexible, quality and consistency outweigh speed, but I expect regular status updates so we can refine targeting together. Key deliverables: • Clean spreadsheet (or CRM import) of new business contacts with verified emails and profile links • Outreach messages sent and logged, including dates and respon...

"Regional CV Sourcers Needed". I manage a steady flow of 30-50 job descriptions every week and need experienced recruitment partners who can keep pace with that volume. For every role I will share a clear brief covering the job description, location and salary range; your responsibility is to source and submit only the most relevant CVs and then reach out to shortlisted candidates to confirm their interest. Territory & profile focus • United States, Germany / wider Europe. • Residents as well as permanent residents only • Roles span Technology, Healthcare and Finance Your weekly workflow 1. Review each JD the same day it is released. 2. Deliver validated CVs with full contact details in my template. 3. Notify me once you have spoken with each shor...

For an upcoming market-research project, a google map saved link will be shared and you have to extract phone number from all those businesses • Business name • Full street address (including city, state and ZIP) • Primary phone number The scrape must span all states and territories so the end result reflects a true national snapshot. An Excel or CSV file is fine for delivery; please keep one row per location and label columns clearly. If you intend to automate with Python, Selenium, Scrapy, the Google Maps API or a similar approach, note that accuracy and duplicate handling matter more to me than the tool you choose. Captcha-handling and rate-limiting should be built in so the run completes cleanly without blocks. Acceptance criteria 1. At least 95 % of returned...

Custom GeM Portal Data Extraction & Pricing Intelligence Tool 1. Project Overview We are active sellers on the Government e-Marketplace (GeM). We require a robust data extraction tool (web scraper) to perform market research and competitive pricing analysis. The tool should fetch real-time data from specific product categories and catalogues on and export the findings into a structured Excel (.xlsx) format. 2. Technical Requirements The developer must build a solution that can navigate GeM’s dynamic architecture. Key technical challenges include: Dynamic Content: Handling JavaScript-rendered pages and "Load More" buttons. Anti-Bot Measures: Handling CAPTCHAs or session timeouts if they occur during deep-link fetching. Deep Crawling: The tool must go beyond the sear...

I’m assembling a fresh, highly-accurate list of decision-makers across Florida who can authorize or influence pest-control services. The contacts must oversee both residential and commercial properties and fall into one of three roles: property manager, HOA president, or facilities manager. The finished spreadsheet should contain only people you have personally verified within the past 30 days. For every record include: • Contact name • Work email (tested, <5 % bounce) • Direct phone number Please avoid generic inboxes, front-desk lines, or out-of-state subsidiaries. A quick note on structure: one row per contact, with separate columns for company name, role title, property type, city, and the three required data points above. I’ll spot-check accuracy...

I’m running a study and need a reliable partner to source and organise the raw data that will feed my analysis. The subject matter and variables are ready; what’s missing is the actual dataset. Here’s what I need from you: • Locate and collect the specified records exactly as outlined in the brief I’ll share after kickoff. • Validate the information for accuracy and completeness, flagging any gaps or anomalies. • Deliver the cleaned dataset together with a short log of your methodology and sources so the work is fully replicable. I’m comfortable receiving the final file in whichever structure you prefer—Excel, CSV, or a lightweight database—as long as it’s clearly labelled and ready for statistical processing. I’m o...

I want a single, streamlined solution that continuously scrapes live data, feeds it straight into an AI agent, and immediately turns the results into usable insights and automated replies. Here’s the flow I’m aiming for: the scraper pulls fresh information from the sources I’ll share with you, filters and structures it on the fly, then hands it to the agent. The agent should run on-the-spot data analysis and generate context-aware responses without human intervention. Think Python with Scrapy or Selenium for the collection layer, fast in-memory handling (Redis, Kafka, or similar) to keep everything real-time, and an LLM framework such as LangChain or a custom GPT wrapper for the reasoning layer. If you have a better tech stack in mind, I’m open to it as long as it ...

I need help with scrping contacts from the dealer page of Joskin's website because accessing all contacts at once is challenging. Scope of work - Extrct all contact details from the dealer page at Joskin's website. - Ensure a method to systematically gather information from multiple dealer listings. - Provide the extrcted data in a structured format. References - Joskin Dealer Page: You need to get whole dat base of this website

I need a clean, well structured list of email addresses extracted directly from online websites and databases. The emails to extract include: 1. The contact email addresses for every country in the world including their government, military and intelligence force of each country. 2. Largest 10,000 Evangelical churches in the United States. 3. Largest 10,000 Mosques in the United States. 4. Largest 10,000 Churches in the world. 5. Largest 10,000 Mosques in the world.

Hi, I’m looking for an experienced web scraping expert to extract book product data from Amazon and other e-commerce/book websites and import it directly to my website. Project details: I will provide an Excel file containing SKUs/ISBNs of books. You need to scrape product details based on these SKUs. Required data fields: Book title Author Price MRP Availability/Stock status Publisher Edition Description Images Ratings & reviews (optional) Additional Requirement: After scraping, all new data must be: Properly formatted Uploaded/imported into my website (WordPress/WooCommerce) Mapped correctly to product fields (title, price, images, description, etc.) Requirements: Proven experience scraping Amazon & similar websites. Ability to bypass anti-bot systems safely. High accuracy ...

I need a fresh, accurate email database of physiotherapists covering every region of Australia—not just the big cities, but rural clinics as well. For each entry I want four critical fields: full name, clinic address, phone number, and of course the email itself. Please source only practising physiotherapists (general, sports, paediatric—whatever you can find—so long as they are qualified and active). I expect the final file in Excel or CSV, fully deduplicated and spot-checked for validity; bounced or generic addresses like “info@” should be kept to an absolute minimum. Deliverables • Excel/CSV file with columns: Full Name | Clinic Address | Phone Number | Email • Nationwide coverage (all Australian states and territories) • Less tha...

I need a reliable web-scraper that can collect full menu data, grouped by cuisine, from both individual restaurant websites and the major food-delivery platforms. Indian dishes are my immediate priority, but the tool should let me add or switch to any other cuisine later without changing the core code. Structure of the data matters to me: each record should include the dish name, price, brief description (when it exists), restaurant name, cuisine tag, and the page URL it was taken from, also the images of the dish. Please deliver the final dataset in a single, clean Excel workbook so I can filter and pivot the information easily. Python is preferred, and I’m comfortable if you rely on Scrapy, BeautifulSoup, Selenium, or a mix—whatever guarantees accurate extraction and keeps ...

I need a clean, well structured list of email addresses extracted directly from online websites and databases. The emails to extract include: 1. The contact email addresses for every country in the world including their government, military and intelligence force of each country. 2. Largest 10,000 Evangelical churches in the United States. 3. Largest 10,000 Mosques in the United States. 4. Largest 10,000 Churches in the world. 5. Largest 10,000 Mosques in the world.

Project Description Overview: We run a specialized marketplace for machinery and equipment ("Galpão das Máquinas") and we are looking for an expert to automate our lead generation process. Currently, our team manually contacts sellers on Facebook Marketplace and OLX, which is slow and frequently flagged as spam. We need a scalable, automated solution to identify and reach potential advertisers. The Challenge: Source: Extract leads (sellers) from specific categories on Facebook Marketplace and OLX. The Issue: Facebook limits manual outreach to ~20 messages/day. We need to bypass this bottleneck safely or find a smarter way to collect contact data (phone/WhatsApp/email) for off-platform outreach. Goal: Create a workflow where we can identify relevant ads and initi...

I have two datasets that must be reconciled. • Master catalogue: 300 k rows × 5 columns, each a unique medicine product. • Transactional file: 300 million rows, roughly 90 % medicine items. My goal is to match every medicine record in the large file to its counterpart in the master list. Name spellings and outright duplicates are the main headaches. Over 99.9 % of the items are actual medicines and would map once the inconsistencies are ironed out, so I want the process to be fully automated, driven by a robust auto-correct algorithm rather than manual review. Remaining 0.1% could be non medical entries, and need to be deleted. I am open to proven techniques—fuzzy matching, phonetic hashing, Levenshtein, word embeddings, or a hybrid—as long as they scale...

I am looking for an experienced developer (Python, web scraping, anti-bot bypass) to finish and stabilize an existing scraping project. Repository: The project is mostly complete, but it is currently not production-stable. Current state / problems: Scraper targets Allegro Allegro actively blocks scraping (blocked already on page 1, blocks after a few requests) Local execution (Selenium) works better than on a server On a VPS, the scraper gets blocked very quickly HTTP scraper (httpx) appears too static from Allegro’s perspective Browser fingerprint is almost constant Proxies are rotating residential proxies, but fingerprint and headers are not The project has mainly been tested locally, but must work reliably on a VPS (not local IP) What needs to be done: Implement and ...

I need a comprehensive, fully-verified database of retail jewellers operating in Delhi, Jaipur, Jodhpur and Chandigarh. For every store the dataset must include: • Business name • Complete street address • Working contact number Accuracy comes first, so before we move to the full run I’ll review a sizeable sample. Please share at least 2,000 records in a single Excel workbook; I’ll spot-check phone numbers and addresses to confirm authenticity. Any entry that fails verification will be rejected, so your process should already cover deduplication, address standardisation and phone validation. Once the sample is cleared, I’ll expect the complete, cleaned file plus a brief note on the sources and tools you used. Feel free to rely on Python, Scrapy, Se...

I am looking for web scraping/scrapers services. The deliverable is Ideally python script(s) that can be run when needed but if that isn’t feasible an output file with the below information will suffice. There are multiple industries (Outdoors, Home Improvement) but the initial focus and quote should be solely for the outdoor/sports products. We are located in the United States. Below is a summary of the required data/details. Product Name Product Description Product Variant Product Category Product Specifications Manufacturer Part Number UPC/SKU Product Link (URL) Image Link (URL) The deliverable (output) needs to be a csv file that can be aggregated or appended on our end. Ideally we’d like an accompanied python script that we can utilize in the future but that is not...

I need a complete, up-to-date export of every business listed on Yellow Pages Australia. The data must be captured reliably and delivered in a single Excel spreadsheet so I can feed it straight into my market-research workflow. The spreadsheet should contain the following columns exactly as they appear on the site: • Business Name • Street Address, Suburb, State, Postcode • Phone Number • Email (where publicly shown) • Business Category • Short Description / Tagline Because the file will drive quantitative analysis, coverage and consistency are critical. Please remove obvious duplicates, keep empty cells where information is missing, and preserve any special characters in company names or addresses. You are free to choose your own stack—...

I need a neatly organised Excel spreadsheet that lists Australian businesses operating in the industries I’ll specify once we start. For every company you add, the sheet must include three columns only: the business name, full contact details (main phone number and a working email), and a complete street address. Accuracy is critical—no duplicates, consistent capitalisation, and phone numbers formatted with the +61 country code. Please source the information from reliable, up-to-date directories or official websites and run basic validation checks so every entry is usable straight away. When you deliver the finished .xlsx file, I should be able to filter by suburb, state, or industry and copy-paste the data into my own campaigns without further clean-up. If you can provid...

I need a results-driven partner who can take the entire prospecting cycle off my plate. The goal is to identify decision-makers in small businesses, agencies, and medical cabinet practices, gather their direct contact details, reach out by phone, and move them through to a closed deal for our service offering. You are free to combine web scraping, social-media mining, and database extraction—whatever delivers the most accurate, up-to-date data. What matters is that each record includes verifiable contact information (name, role, phone, email at a minimum). Once the lists are built, I expect you to: • Place cold calls, handle objections, and qualify interest • Schedule follow-up conversations or demos when needed • Track conversations and outcomes in a shared CRM...

I need a dependable team to gather 40,000 rows of business-meeting information from publicly available websites and deliver it in a clean Excel workbook with 14 clearly labeled columns. Each record must include pre-specified details. Scope • Source exclusively from public websites; no APIs or paid databases are involved. • Scrape, copy, or otherwise capture the data without violating any site’s terms of use. • Normalize all values (consistent date & time formats, no broken links, no duplicate meetings). Deliverables 1. Master .xlsx file containing approximately 40,000 fully populated rows; we shall set up milestones for batches 2. A brief data-collection log that notes each primary website used and any issues encountered. 3. Progress snapshots every...

I am looking for an experienced developer (Python, web scraping, anti-bot bypass) to finish and stabilize an existing scraping project. Repository: The project is mostly complete, but it is currently not production-stable. Current state / problems: Scraper targets Allegro Allegro actively blocks scraping (blocked already on page 1, blocks after a few requests) Local execution (Selenium) works better than on a server On a VPS, the scraper gets blocked very quickly HTTP scraper (httpx) appears too static from Allegro’s perspective Browser fingerprint is almost constant Proxies are rotating residential proxies, but fingerprint and headers are not The project has mainly been tested locally, but must work reliably on a VPS (not local IP) What needs to be done: Implement and ...

I’m facing a technical roadblock that hinges on data analysis. Specifically, I need a prescriptive approach that tells me not just what happened or might happen, but exactly what actions to take next. Here’s what I’m after: • Review my existing datasets (mostly CSV and SQL-based exports) and quickly assess their integrity. • Build or refine a prescriptive model that weighs multiple business constraints and outputs clear, ranked recommendations. • Provide an easy-to-follow explanation of the chosen methodology—whether that’s optimization, simulation, machine-learning-driven decisioning, or a hybrid approach—so I can maintain it afterward. • Deliver a concise report and reusable code (Python preferred, but I’m open to R if ...

I am looking for a Python Developer who specializes in web scraping. The project entails downloading data from a specific website in PDF files. Specific requirements and features for the web scraping tool are open to suggestions, as I am flexible with the options. However, the data needs to be cleaned and structured in a specific format. Skills and experience needed for this project include: - Proficiency in Python - Expertise in web scraping and data extraction - Familiarity with handling PDF files - Knowledge of data cleaning and structuring techniques If you have experience in web scraping and are comfortable working with Python, please reach out to discuss further details.

I’ve been manually collecting product information from an online catalogue and now want the entire process fully automated. The goal is a repeatable script that captures every piece of relevant content on the site—text, product images, and any internal or external links—then saves it in a tidy, structured format I can work with straight away. Here’s what I need you to build and hand over: • A scraping script (Python preferred—BeautifulSoup, Scrapy, or Selenium if the pages are dynamic) that logs in if required, navigates through all catalogue sections, and pulls text, images, and links without missing hidden or paginated items. • Clean output: text and links in CSV or JSON, images downloaded into organised folders with filenames that reference th...

This project delivers an intelligent Employee Promotion Prediction system built using machine learning techniques to support data-driven and unbiased HR decisions. The system analyzes multiple employee attributes, including performance ratings, years of experience, training history, and key behavioral indicators, to predict promotion eligibility with high accuracy. What sets this project apart is its end-to-end approach: starting from data preprocessing and feature engineering, through model selection and evaluation, to interpreting results in a way that is meaningful for HR stakeholders. Rather than relying on subjective judgment alone, the model provides objective insights that help identify high-potential employees early and consistently. The project emphasizes fairness, transparency,...

This project delivers an intelligent Employee Promotion Prediction system built using machine learning techniques to support data-driven and unbiased HR decisions. The system analyzes multiple employee attributes, including performance ratings, years of experience, training history, and key behavioral indicators, to predict promotion eligibility with high accuracy. What sets this project apart is its end-to-end approach: starting from data preprocessing and feature engineering, through model selection and evaluation, to interpreting results in a way that is meaningful for HR stakeholders. Rather than relying on subjective judgment alone, the model provides objective insights that help identify high-potential employees early and consistently. The project emphasizes fairness, transparency,...

I run a rapidly-growing newsletter in the Indian fintech space and need fresh, qualified B2B leads from finance-focused companies that are likely to sponsor our upcoming editions. My priority is brands operating in or around capital markets, traditional and neo-banks, brokers, NBFCs, credit-card businesses, UPI/payment networks, and any other finance-centric verticals serving the Indian market. This is NOT mass scraping or generic databases. I need decision-makers who can approve or influence marketing / sponsorship budgets. What I need from you • A curated list of companies that match the profile above, including key decision-makers (marketing heads, partnership managers, or CXOs) with verified email addresses and LinkedIn URLs. • Basic company intel—funding stage, re...

I need targeted, purchase-ready B2B leads across Technology, Healthcare, E-commerce and Fintech. The end goal is simple: contacts who are positioned to buy my service, not just request a demo or join a newsletter. Scope • Industries: Technology and Healthcare are top priority, with E-commerce and Fintech close behind. • Regions: North America, Europe, Asia-Pacific, plus focused outreach in the UAE and India. • Lead intent: Decision makers or strong influencers able to approve a purchase in the next sales cycle. What I expect from each batch of leads 1. Company name, website and industry tag. 2. Contact’s full name, title, verified email and direct dial (where possible). 3. LinkedIn URL for quick context. 4. Brief note on why the prospect fits our buying...

I need someone to teach me survival analysis for a school project. I would like to do the project myself but I need lessons. Key Tasks: - teach me survival analysis, cox regression and binary logistic regression Ideal Skills and Experience: - Expertise in survival analysis techniques. - Proficiency in statistical software (SPSS or R). - Background in healthcare data interpretation. - Strong analytical and problem-solving skills.

I need help scraping data from a difficult-to-scrape website. I'm looking to have a script made that can be run on a daily basis, and that I can repeat myself, along with any help in setting it up. The script will pull down unique product IDs and high-level descriptions for all the products in inventory. Then, the next day, it will do it again and compare which products have been added or removed. Assume up to 80K items per day. message me if interested, and I'll provide more details. Thanks,

This project involves building an automated solution to analyze job advertisement text and link it to established occupational classifications. The goal is to connect unstructured job postings to standardized tasks and occupations from a database (which we will give you), generating structured outputs suitable for analysis and reporting. This project is intended for freelancers with experience in data science and text processing work. If you are interested, contact us and we will send you the full brief with full task details, requirements, and deliverables.

I'm planning a marketing campaign and need fresh, well-organized data from specific online databases. I'm interested in a complete record capture: text fields, links, and, if available, email contacts and phone numbers. Scope in brief: I'm looking for companies that exhibited at Cologne Fair. You configure the crawler/script, perform scraping, and cleaning. You take into account server restrictions (rate limit, pagination, captcha) – I want everything to be done ethically and without IP blocking. Then, for each company, I need to find an email address, categorize the company, and specify the language. To be considered, please include a detailed project proposal: what technology you will use, how you will ensure data accuracy and minimize duplicates, estimated implement...

I need an automated script that starts with the public North Carolina Landscape Contractors’ Licensing Board search page ( ) and pulls every customer name and business address it can find there. Once the basic record is captured, the bot should pivot to enrichment: hunt down a working email address, a phone number, and a live LinkedIn profile link for each contact. I want the crawler to look both on LinkedIn itself and anywhere else on the open web where reliable contact data shows up, then consolidate everything into a single, tidy CSV. My plan is to import that file directly into Wix for an email-marketing campaign and to run LinkedIn outreach in parallel, so data hygiene matters—no duplicates, no obvious spam traps, and the email field must pass a quick syntax check. Pleas...

I need most recent 1000 leads (so start from today and go back in time ) for high level managers related to AI , especially CEO, CTO , AI managers and HR maximum 4 leads per startup csv file with one row per person, so 1000 rows for I need find leads for most recently funded USA AI startups (from today date and count down) use Tracxn Pitchoob Cranchbase fields to provide in csv file data of most recent funding ; amount of most recent funding ; weblink for source; -Company Name; -Company Website; -Company Address , -State -country; -Foundation Year; -personal Name -Last name; -privet Phone number only usa - privet Email; -company working Phone number only usa -company working Email ; link to LinkedIn profile; provide alse screen copy from source website list of companies I am open for...

I need a Python-based agent that continuously gathers real-time data on Caribbean economies and sectors, then turns those streams into clear, decision-ready market briefs. The agent must: • Pull data asynchronously from at least five live sources—specifically Financial APIs, News services, and Economic databases—while retrying intelligently so data freshness is never compromised. • Store, structure, and time-stamp each datapoint for reproducibility. • Run statistical trend analysis (e.g., moving averages, YoY deltas, volatility) and generate regional comparisons across Caribbean countries. • Pass the processed insights to Claude AI and receive executive-level narratives that highlight key movements, risks, and actionable recommendations. • Pa...

I want to scrape the state database of specific contractors in target states. Scrape for the mailing address and phone number

I’m midway through a research project and have hit a road-block with my data. All of my source material comes from academic journals and has already been extracted into several Excel spreadsheets. Somewhere in that process a technical snag crept in—calculations now return inconsistent results and a few sheets refuse to refresh properly—so my analysis has stalled. Here’s what I need from you: • Diagnose and correct the glitch inside the Excel workbooks (broken formulas, corrupt links, formatting conflicts—whatever is causing the errors). • Verify that the cleaned spreadsheets open without warnings and that every formula, reference and pivot table recalculates accurately. • Hand back the repaired files plus a brief changelog that outlines wh...

We need an expert data researcher to find data of businesses from internet. You should have fast internet research skills, very good communication skills and google sheet. This is a long term job.

hey guys I WONT RESPOND TO AUTOMATED BIDS. IF YOU ARE INTERESTED IN THIS PROJECT MESSAGE ME DIRECTLY. I need to put data ( phone nubmers, emails, address, and type of business) onto an excel ( or gsheet) related to a specific geographical area of the city ( +1km radius) map link below: the typolgies will be businesses, institutional places ( such as church, library etc), and residential street addresses ( houses) I would ideally like to have this map reproduced in google map and somehow attached on the second tab. List and map are attached. I think it shoul be around 1500 records to be scraped

Project Title: Lead Generation & Cold Calling Specialist (Sagar/MP Region) Type: Freelance / Pilot Project Industry: Security Services & Manpower Outsourcing Total Project Value: Up to ₹7,500 (Fixed + Performance Based) PROJECT OVERVIEW: We are a Security and Manpower Outsourcing firm looking for a results-driven freelancer to generate quality leads in Sagar City and Madhya Pradesh. Your primary goal is to set up appointments/site visits with decision-makers. KEY RESPONSIBILITIES: - Data Mining: Identify potential clients (Factories, Hospitals, Societies, Corporate Offices) in Sagar & MP. - Cold Calling: Reach out to decision-makers to introduce our unskilled/skilled labor services. - Appointment Setting: Qualify the lead and schedule a face-to-face meeting for our sales t...

Project Title: Lead Generation & Cold Calling Specialist (Sagar/MP Region) Type: Freelance / Pilot Project Industry: Security Services & Manpower Outsourcing Total Project Value: Up to ₹7,500 (Fixed + Performance Based) PROJECT OVERVIEW: We are a Security and Manpower Outsourcing firm looking for a results-driven freelancer to generate quality leads in Sagar City and Madhya Pradesh. Your primary goal is to set up appointments/site visits with decision-makers. KEY RESPONSIBILITIES: - Data Mining: Identify potential clients (Factories, Hospitals, Societies, Corporate Offices) in Sagar & MP. - Cold Calling: Reach out to decision-makers to introduce our unskilled/skilled labor services. - Appointment Setting: Qualify the lead and schedule a face-to-face meeting for our sales t...

I am a realtor and wish to use AI to find the owners of homes using public government information and existing N8N and eleven labs subscriptions similar to what is mentioned in this podcast found in this link I want to be able to use google maps and choose any house and find who the owner and combine it with directory and N8N store in Excel files- this is a low budget task

I need the contact emails for the top 1000 military organizations including Gold Star mothers. I also need the contact emails for the top criminal justice reform organizations and United States legal law review publications. I also need the contact email address for all American jail and prison dating services including dating for felons.

I’m putting together a verified, permission-safe master list of high-profile email contacts and I need an experienced data researcher who can reliably source and structure the information for me. Here’s what I’m after, with the approximate volumes for each segment: • Every televangelist worldwide plus their associated churches • Top 1,000 Christian bands • Top 10,000 global preachers or pastors • 10,000 leading Wall Street market professionals • The world’s 1,000 wealthiest families • Every reigning royal family • Every known billionaire For each record I just need an email address. I’m flexible on the final format—CSV or Excel both work—so choose whichever lets you keep the data clean, dedu...

We are seeking business owners who are alumni of a university to answer five short written questions about post-graduate business and financial decision challenges. This is not consulting, coaching, or sales. The purpose is to inform a published study on alumni decision-making after graduation. How this works Applicants answer five short screening questions We will select 2–3 participants based on relevance Selected participants will receive $50 to complete the study Details 5 written questions (approx. 10–15 minutes) $30 honorarium (fast, one-time payment) No follow-up required Required for Participation By applying, you acknowledge that if selected, your responses may be used in a published study with your name, professional title, and photo. Participation is conti...

I'm looking for a skilled data analyst to perform survival analysis in the healthcare domain. The data will be synthetic, as real data cannot be used. Key Tasks: - teach me survival analysis, cox regression and logistic regression Ideal Skills and Experience: - Expertise in survival analysis techniques. - Proficiency in statistical software (SPSS or R). - Background in healthcare data interpretation. - Strong analytical and problem-solving skills.

I need a Python-savvy content creator to produce a short course called “Introduction to Python Business Automation.” Scope • 5 tutorial videos, each 5–10 minutes. • Screen-recorded walkthroughs with clear voice-over narration (no on-camera shots or animation needed). Topics to cover 1. Data processing and analysis – simple CSV/Excel manipulation with pandas. 2. Web scraping – gathering data with requests and BeautifulSoup or similar. 3. Automating emails – generating and sending messages with smtplib. 4. Quick project that combines the above skills. 5. Recap and next steps for learners. What I expect • Well-structured scripts and live coding so beginners can follow line-by-line. • Clean, readable code and comme...

I'm seeking an experienced data scientist specializing in machine learning to develop a model using text data. Key Requirements: - Expertise in natural language processing (NLP) - Proficiency in machine learning algorithms - Strong programming skills in Python or R - Experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Ability to handle, preprocess, and analyze large text datasets Ideal Skills: - Background in linguistics or computational linguistics - Previous projects in sentiment analysis, text classification, or similar - Strong analytical and problem-solving skills - Effective communication for project updates and collaboration