Data Mining Jobs

I need a web scraper / data extraction to collect structured business data for all Supermarkets and Hypermarkets listed on across the UAE. --- **Data Fields Required:** - Business Name - Contact Number (Landline) - Mobile Number - Email Address - Full Address - Emirate (Dubai, Abu Dhabi, Sharjah, Ajman, Ras Al Khaimah, Fujairah, Umm Al Quwain) - Website URL - Business Category / Sub-category (e.g. Supermarket, Hypermarket, Mini Mart) - Social Media Handles (if listed – Instagram, Facebook, WhatsApp) --- **Deliverable:** - Clean, deduplicated data in Excel (.xlsx) and CSV format - One row per business location (not per brand) - Separate column for each emirate for easy filtering - No blank/junk rows; all columns properly labeled --- **Requirements:** - Proven experience scrapin...

I’m ready to launch a premium line of Indian spices and need a strategist who can turn the category on its head. My top priorities are crystal-clear brand messaging and story, breakthrough market positioning, and a full Blue Ocean Strategy that carves out an uncontested space built on rigorous quality benchmarks. Here’s what I need from you: • Translate deep consumer and competitor insights into a compelling narrative that celebrates India’s spice heritage while making it feel fresh and globally relevant. • Map the competitive landscape, identify strategic gaps, and develop a Blue Ocean “strategy canvas” that clearly shows how we diverge from every existing player. • Define the core value proposition and quality standards that will set...

I have a curated dataset of patients’ genetic profiles and need a deep-learning solution that can reliably flag the presence of heart disease. Because the data are entirely genomic, the job begins with thoughtful preprocessing and feature engineering (handling high-dimensional SNPs, normalisation, train/validation split, class-imbalance techniques if required). My single, overriding success metric is F1 Score; accuracy alone will not do, so the model must be tuned to balance precision and recall. You may choose the exact framework—PyTorch or TensorFlow/Keras are both fine—as long as the final code is clean, reproducible, and GPU-ready. Deliverables • End-to-end Python code or notebook that loads the raw genetic data, performs preprocessing, trains the deep neur...

I need comprehensive contact data of retail sector businesses in Pakistan planning to expand to South Punjab, specifically Multan. This includes: - Email addresses - Cell numbers - WhatsApp numbers - LinkedIn accounts - Official phone numbers Ideal Skills and Experience: - Experience in data mining and lead generation - Familiarity with the retail sector in Pakistan - Ability to deliver accurate and verified information quickly Please include detailed project proposals in your application.

I’m assembling a sizeable AI training dataset focused exclusively on first-person recordings of manufacturing processes. All footage must be shot from an egocentric point of view—helmet cam, chest rig, or smart-glasses—so the viewer sees exactly what the worker sees while performing hands-on tasks on the factory floor. Scope • Subject matter: professional, manual-labor environments only; think assembly lines, machine operation, quality checks, packaging, tool handling, and similar day-to-day manufacturing actions. • Volume: I will need a large number of distinct clips, captured in varied settings, lighting conditions, and with different operators to maximise data diversity. • Quality: full-HD or higher, steady perspective, clear visibility of hands, tools,...

I need the top 1000 contact email addresses for each category: 1. Every country in the world's main contact email. Around 5 emails per country. 2. Every country in the world's intelligence service. 3. Every country in the world's military service. 4. Top 1000 wealthiest global families. 5. All global royal families. 6. 1000 of the world's top diplomats and dignitaries. 7. Top 1000 wealthiest individuals. 8. Top 1000 female Christian religious scholars globally. 9. Top 1000 global human rights groups. 10. Top 1000 International Criminal Courts contact emails. 11. Top 1000 Interpol contact emails. Thank you for your time. I look forward to your work.

I’m looking for an experienced web-scraping specialist to capture detailed product information. The target sites are e-commerce and marketplace style domains; I’ll share the exact URLs once we’ve agreed to proceed.

Please compile a clean Excel list of 500–1,000 London letting agencies, concentrating on independents with 1–5 branches and mid-size firms with up to 20 branches. I need full city coverage rather than limiting the search to specific boroughs or postcodes. Required fields for every record: • Company name • Website URL • Main phone number • Office location (address or at least postcode & borough) • Email address of the Lettings Manager or Property Manager or branch manager Accuracy is essential: avoid duplicates, outdated details, or generic info@ addresses wherever possible. If an agency runs multiple offices, count it once unless each branch functions as a separate letting office; in that case, include each branch on its own row and not...

Hello, I am sharing couple of sites which I need mainly, but if you have similar type of site please share the pricing and your publishing charges. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

I need a freelancer to create a comprehensive database of publicly available contact information for a specified list of names. The database should include: - Email addresses - Phone numbers - Mailing addresses - Titles and assistants - Work and home addresses - Instagram profiles Ideal skills and experience: - Experience in data collection and database creation - Familiarity with public data sources - Attention to detail and accuracy - Proficiency in using data management tools - filling out the following Salutation FirstName MiddleInitial LastName Nickname Suffix Title Company EmailAddress1 EmailAddress2 BusinessPhone MobilePhone HomePhone BusinessFax AssistantFirstName AssistantLastName AssistantEmail Assistantemail2 AssistantPhone BusinessAddressLine1 BusinessAddressLine2 BusinessCi...

I need a clean, accurate database of 30,000 Australia-based executives. C-suite roles are the priority, but I’m open to a healthy mix of senior decision-makers if that helps reach the target count without sacrificing data quality. The list must be delivered in CSV or Excel and include, at minimum, each executive’s name, job title, company, direct email, direct phone (mobile or direct line preferred), and a working LinkedIn profile URL. I will spot-check the file, so a bounce rate under 5 % is essential and generic addresses (info@, admin@, etc.) will be rejected. You are free to pull from any reliable source—LinkedIn Sales Navigator, ZoomInfo, company websites, industry directories, or verified web scraping—so long as the information is recent and complies with A...

Hi, We're looking for web scraping specialists or data engineers who extract data, whether at small scale or at scale on behalf of clients, to evaluate a new tool that's currently live. Freelancers we've shown it to are cutting scraping time by 3x or more and saving over 90% on LLM token costs at scale, with no AI hallucinations, taking on far more clients without the extra overhead. We're looking for freelancers to test it, share feedback, and see if it can have the same impact for you. A 15 minutes call is all we need. Thanks!

I’m looking for a freelancer who can consistently supply fresh, fully-verified individual consumer leads for our EdTech company. My focus is on people who actually make or influence enrolment decisions, so accuracy and intent are more important than sheer volume. Target market • Students • Parents What I need from you - A repeatable strategy (organic or paid) that reaches the above two segments and converts them into qualified prospects. - A lead file for each delivery containing, at minimum, full name, active email, phone (when available), location, and a short note on how the lead was captured or verified. - Verification proof or tool report so I can see bounce-free emails and authentic numbers. - Compliance with all relevant privacy regulations in the reg...

PROFESSIONAL SUMMARY Detail-oriented and systems-focused Data Specialist specializing in end-to-end data pipelines for remote business environments. Proven expertise in taking raw, fragmented business datasets and transforming them into structured, automated, and visually striking Power BI dashboards and Excel models. Expert in data cleansing, relational data modeling, and advanced business intelligence analytics (DAX, Power Query, XLOOKUP, and Pivot Tables) aimed at helping remote teams optimize operations, increase sales performance, and make data-driven decisions. TECHNICAL SKILLS MATRIX Data Analysis & BI: Power BI Desktop, Power BI Service, Power Pivot, Data Modeling (Star Schema), DAX (Data Analysis Expressions) Measures. Advanced Spreadsheet Engineering: Microsoft Excel, Googl...

PROFESSIONAL SUMMARY Detail-oriented and systems-focused Data Specialist specializing in end-to-end data pipelines for remote business environments. Proven expertise in taking raw, fragmented business datasets and transforming them into structured, automated, and visually striking Power BI dashboards and Excel models. Expert in data cleansing, relational data modeling, and advanced business intelligence analytics (DAX, Power Query, XLOOKUP, and Pivot Tables) aimed at helping remote teams optimize operations, increase sales performance, and make data-driven decisions. TECHNICAL SKILLS MATRIX Data Analysis & BI: Power BI Desktop, Power BI Service, Power Pivot, Data Modeling (Star Schema), DAX (Data Analysis Expressions) Measures. Advanced Spreadsheet Engineering: Microsoft Excel, Googl...

BLUE / GREEN. I am seeking a data mining and lead generation specialist to build a highly targeted B2B contact list in Excel/Google Sheets. This is a data-gathering project focused entirely on two specific industries within the United Kingdom: SEGMENT 1: UK Warehousing & Logistics - Target: Medium-sized warehouse, supply chain, and fulfillment companies across the UK. - Target Decision Makers: Operations Directors, Warehouse Managers, HR Managers, Health & Safety Officers. SEGMENT 2: UK Healthcare & Care Facilities - Target: Medium-sized private care homes, residential care facilities, and hospices across the UK. - Target Decision Makers: Care Home Managers, Registered Managers, Clinical Directors, HR Directors. REQUIRED DATA FIELDS PER ROW: 1. Company/Facility Name & ...

I’m compiling a GIS model of our electrical network for research and analysis, and accuracy is everything. The project is strictly geospatial: I need properly referenced layers that show how power lines, substations, and transformers relate to one another across the study area. Attribute tables must include IDs, capacities or voltage classes where available, and any other fields you feel are essential for solid analytical work later on. Preferred tools are ArcGIS Pro or QGIS; choose whichever lets you deliver clean topology and straightforward metadata. If you work in another platform, export to an open format (GeoPackage or shapefile) so that it drops straight into our existing workflows. Deliverables • Geo-referenced layers for power lines, substations, and transformers &b...

I need a clean, well-structured list of company leads pulled directly from PitchBook. The focus is strictly on company-level data, so please ignore investor or executive profiles and concentrate your effort on identifying the right organisations inside the platform. Here’s what I expect: • A downloadable spreadsheet (CSV or XLSX) containing each company’s name, website, headquarters city & country, and any other standard PitchBook attributes you can readily export such as latest funding round, total capital raised, and key industry tags. • A clear note on the query parameters you used so I can replicate or adjust the search later. • Delivery of the file plus a quick summary of your steps so I understand the scope and accuracy of what you pulled....

I need a developer to create a tool for detecting specific 4-candlestick patterns on a 1-minute time frame. The logic involves: 1. A red candle breaking the highs and lows of two preceding green candles. 2. A green candle breaking the highs and lows of two preceding red candles. Key Features: - No auto-trading functionality is required. - Only flagging these patterns with instant phone notifications. - Monitor assets with payout rates above 93% only. The solution must allow flexibility for future modifications in strategies if required.

I need a tool or script to scrape product details from Facebook Marketplace. The goal is to filter out car dealers and focus only on private sellers. Requirements: - Scrape product details such as name, description, and photos - Identify private sellers based on seller description Ideal Skills & Experience: - Experience with web scraping - Familiarity with Facebook Marketplace - Proficient in handling data extraction and processing

I need a reusable scraping script that pulls a large-scale dataset—roughly 10,000 to 15,000 records—of UK-based removal companies, moving services and “man & van” providers from these six platforms: Google Maps, Yell, Facebook, Gumtree, Checkatrade and Trust a Trader. For every company the script should capture, where available, the brand name, contact-page URL, phone number, email address, full street address and postcode. Because I will rerun this search in about six months, the code must be easy to configure (date, location or radius tweaks rather than major rewrites) and capable of completing the full crawl again without manual intervention. Data quality is important to me, so please build in duplicate detection, basic normalisation (e.g., consistent pos...

Mais detalhes: Which platforms will the Aviator predictor be used on? Mobile, Web What functionality do you need in the Aviator predictor? Real-time predictions, Historical data analysis How will the data be sourced for the Aviator predictor? Manual data input