การทำเหมืองข้อมูล Jobs

We are looking for an experienced B2B Lead Generation / Market Research Freelancer to conduct a one-time research project for our company, AI-3SIXTY. Our company provides AI-first operations, automation and transformation services to U.S. mid-market companies, with expertise across Sales Operations/RevOps, CRM, Finance & Accounting, Supply Chain, Warehouse Operations, AI automation and process transformation. We need a qualified list of 50 potential U.S. companies that could be strong prospects for our services. For each company, please provide: • Company name and website • Industry and company size/revenue range • Why the company is a potential fit for our services • Key decision-maker's name and designation • LinkedIn profile • Business email/con...

Saya membutuhkan panduan praktis untuk mulai menghasilkan pendapatan secara online. Lingkupnya masih terbuka, jadi saya ingin Anda: • Mengidentifikasi satu atau dua model monetisasi yang paling cocok untuk pemula—misalnya iklan, penjualan langsung, atau layanan berlangganan—beserta kelebihan dan risikonya. • Menyusun langkah-langkah implementasi tahap awal (riset pasar singkat, pemilihan platform, perkiraan biaya dasar, dan jadwal mingguan selama 30 hari). • Memberikan daftar alat gratis atau berbiaya rendah yang direkomendasikan—contoh: WordPress, Shopify, Google Adsense, Mailchimp—lengkap dengan alasan pemilihan. • Menutup dengan metrik sederhana yang dapat saya pakai untuk menilai keberhasilan dalam tiga bulan pertama. Dokumen akhir cu...

I have a raw customer dataset and I need a predictive model that can automatically segment these customers into actionable groups. The job begins with cleaning and preparing the data, moves on to feature engineering, and culminates in training and validating a segmentation model in Python—ideally using pandas, scikit-learn (or similar), and clear visual output via matplotlib or seaborn. What matters most is accuracy and interpretability. I want to understand which features drive each segment, so well-commented code, concise documentation, and an executive-level summary of insights are essential. Final deliverables should include: • A reproducible Python script or notebook • The trained model (saved or easily retrainable) • A brief report highlighting key segments...

We need a freelancer to research and source "Qualified Chinese Business/Company Email Leads" that meet a very specific requirement. Each lead must have: ● A genuine Chinese company/business ● Its own corporate domain (no QQ, 126, 163, Gmail, etc.) ● Email infrastructure powered by **Alibaba/Aliyun Mail**, confirmed through MX/DNS checking ● A genuine business/contact email from that same company domain ● No `@` emails and no `ir@` addresses ● One email per company ● No guessed or fabricated email addresses We will use email sorter to verify it. We will start with a small batch of 500 fully qualified leads. Leads that bounce, or duplicate entries need to be replaced readily. If the quality is good, this can become an ongoing project with larger batches. ■ Our Budget: $20 per 5...

I need a machine-scraped contact database for Romanian companies operating in five clearly defined sectors: design offices & architects, locksmithing & metalworking, electrical installations, stonemasons, and carpentry. Each record must contain exactly three fields—company name, phone number, and email address—delivered in a single Excel file. Feel free to pull the information from company websites, reputable business directories, and social-media business pages; those three sources together should give the breadth I’m after. A basic validation of phone numbers and email syntax is enough, as long as obvious bounces or malformed entries are removed. Volume is critical. I expect several thousand, ideally tens of thousands, of unique records overall. When you respo...

Telegram Scraping & Community Growth Specialist I am looking for a Telegram scraping / data mining specialist to help me build and rapidly grow my own Portuguese sports betting Telegram community. My goal is to become the owner and main tipster of a 1,000+ real and active Portuguese member community focused on sports betting tips, predictions and analysis. There are already many Telegram channels, groups and online communities where my target audience is active. I want to find and analyse these audiences at scale, using scraping, automation and other technical methods, and then identify the best legitimate ways to attract those users to my own community. I need someone who can: Discover Portuguese sports betting Telegram channels/groups and related communities. Scrape and organise p...

I’m launching a large-scale outreach campaign and require a database of one million up-to-date leads specifically from small businesses. I’m flexible on geography and sector, but every record must be real, current, and ready for cold-email or phone contact. Please source the data ethically—LinkedIn, public directories, web scraping, or reputable data providers are all acceptable as long as the final list is freshly verified. Automation is fine; what matters is accuracy and scale. Duplicate suppression, spam-trap removal, and basic enrichment (company size, website, and primary contact role) should already be handled on your end before delivery. Deliverables (CSV or XLSX): • 1,000,000 unique small-business records • Fields: business name, contact name, role/t...

I need property registration details from igrsup.gov.in. The data should be organized in an Excel spreadsheet. Required Information: - Owner's name and address - Property description and location - Transaction history Ideal skills and experience: - Familiarity with - Proficiency in data extraction and Excel - Attention to detail and accuracy

I need a freelancer to research and collect information and video for **12 products**. ### Product sources Products must be found online from real listings on websites such as: * Dealer websites * Auction websites * Other relevant sales/listing websites The products must be **real listings**. ###Used Vehicle: 1. Porsche 911 GT3 RS (992) / 2023–2025 / $300k–$550k 2. Lamborghini Huracán / 2018–2024 / $200k–$400k 3. Ferrari 296 GTB / GTS 2022–2025 / $280k–$450k 4. Lamborghini Revuelto / 2024–2026 / $600k–$900k 5. Porsche 911 S/T / 2024–2025 / $500k–$800k 6. McLaren 750S / 750S Spider / 2024–2026 / $300k–$450k 7. Ferrari SF90 Stradale / Spider / 2020–2024 / $300k–$600k 8. Porsche 911 Turbo S (992)...

I have an up-to-date list of stores that we already supply to, but the details on my end are incomplete. I need you to go through Supplier A website and pull every location’s name, full street address, opening hours, as well as its exact longitude and latitude. Once gathered, enter everything neatly into my existing spreadsheet so the data can be dropped straight into our “Find a Store” feature. Accuracy is crucial because the coordinates will feed our map and the hours will appear on the store profile pages. Deliverables: • One spreadsheet (Excel or Google Sheets) containing:  – Store name  – Street address (with city, state, postcode)  – Opening hours in a clear format (e.g., “Mon-Fri 9 am-6 pm”)  &n...

I need an experienced web scraping developer to extract the complete public Hacker Database from SoldierX.com. Pages to scrape: Also scrape every individual profile/subpage linked from these index pages. Required fields: Handle/Name, Profile URL, IRL Name, Tags, Full Biography, Facts, Rumors, References, Images/Image Links, Picture Count. Output: Excel/CSV, fully editable. The site may have Cloudflare/ASN restrictions, so please test access before bidding. Public data only; no login/private data required. Important: I will share a sample file showing the exact required format and fields. Please follow that sample exactly. Please bid only if you can test the website and confirm you can extract the full dataset.

I need a skilled web scraper to extract specific data from company websites for marketing purposes. The data required includes: - Names of key personnel: Managing Director, CEO, and other management - Email addresses - Phone numbers - Location Ideal skills and experience: - Proficiency in web scraping tools and techniques - Experience in handling and organizing large datasets - Attention to detail to ensure data accuracy - Ability to deliver the data in a structured format (e.g., CSV, Excel) Please provide examples of previous work and ensure compliance with data privacy regulations.

Scraping data for b2b marketing. The database must comprise Founders / Co-Founders / Managing Directors / CEOs, Strategy Managers, Strategic Management Directors and all those responsible for strategy, strategic planning and strategic visions of organisations- 60 000 contacts wanted across all industries and from South Africa, Zambia, Zimbabwe, Namibia, Ghana, Kenya, Uganda, Tanzania, and Nigeria. All contacts must be active, true corporate/work email addresses with a minimum 95%+ deliverability rate. Generic or personal emails (e.g., @, @, @) will not be accepted. Quality & Verification Requirements: Deliverability Guarantee: Minimum 95% valid, deliverable work emails. Zero Spam Traps / Hard Bounces: All emails must be dynamically validated via real-time SMTP/MX ping checks (using to...

Hello. I am in need of a scraper expert who is also able to build a robust Discord system to manage said data and alert users based on keywords. In a very niche market where websites are relatively easy to scrape. 10-25 retail sites. 6-7 P2P and forum sites. Product must be serviceable with bot health systems. Scraper should gather and alert on: - retail site in stock as it comes up - P2P product descriptions, price, preview, etc - keyword updatable - scalable with users - discord and/or signal integration - minimal monthly cost - local computer host. (No droplet) Ideal Skills and Experience: - Proficiency in web scraping tools (e.g., BeautifulSoup, Scrapy) - Experience with P2P marketplaces - Ability to handle large volumes of data - Knowledge of data storage solutions (e.g., data...

I need a verified database of 30,000 companies operating in the oil & gas, investment, and manufacturing sectors across the UAE, Singapore, Hong Kong, and India. The file must include two reliable contact channels for each company: a working email address and a direct phone number. Accuracy is critical—bounce-free emails, current numbers, no duplicates, and correct country assignment. Sources, scraping tools, or platforms you prefer are fine as long as the data stands up to random spot-checks. Deliverables • CSV or Excel file containing: Company Name, Sector, Country/City, Email, Phone. • A brief note on the collection method and any verification steps taken. Completion is confirmed once a random 5% sample shows less than 5% invalid contacts.

Extract Business Data from (Fixed Budget) Description: I need a freelancer to scrape and extract publicly available business data from Manta.com. The fields to be collected are already defined in the attached Excel file. Fields to Extract: Link SIC Code Name NAICS Code Email Breadcrumbs Person Email [1–6] Person Phone [1–6] Person Name [1–6] F Name / L Name Person Designation [1–6] Category [1–3] Address ZIP Code Country Phone Ratings Reviews Description Website Social Profiles (Facebook, Google Plus, Twitter, Instagram, Pinterest, LinkedIn, YouTube) Google Maps Requirements: Accurate extraction of all listed fields Deliver data in Excel/CSV format Completion within 8–10 days Budget: Fixed ₹10,000 INR

I need a clean, reliable dataset of official finish times for every horse race run in the United Kingdom and Ireland. The focus is solely on race results—no individual horse performance statistics or jockey information—so the task is well-defined and compact. Scope • Source or scrape each race’s official finish time, past and ongoing. • Provide the time strictly in MM:SS format (for example, 03:45). • Include enough basic identifiers—meeting name, date, course, race number—to keep each entry unique and traceable. Deliverable A single CSV (or Excel) file containing one row per race with the columns: Meeting, Date, Course, Race ID, Finish Time (MM:SS). Acceptance criteria • 100 % of entries parse correctly as MM:SS. • Rand...

• Engineered and deployed a 5-page interactive website using HTML5, JavaScript, and Bootstrap, configured hosting infrastructure through GoDaddy and Cloudflare. • Researched and compiled data on 100+ U.S. medical practitioners to build a structured prospect dataset. • Cleansed and validated clinical data using MS Excel and Google Sheets, improving data accuracy and usability to 95%. • Monitored and automated website performance, DNS, and SSL/TLS infrastructure using Cloudflare and cPanel,saving 10+ hours per week. Analyzed 500K+ financial transactions to build an AI-powered tax fraud detection and risk monitoring system. • Led a team and engineered 27 data features and optimized machine learning classification models to enhance anomalous behavior detection. •...

Data Analyst Tutor Needed — Intensive 2-Month Program (Python, SQL, Excel, Power BI) Overview I'm looking for an experienced data analyst or data scientist to tutor me through a structured, self-directed curriculum over the next 2 months, with the goal of being fully job-ready and actively applying for Data Analyst roles by the end of the program. I already have a Master's degree in Data Science and have built out a complete week-by-week study plan — I need a tutor to guide me through it, review my work, unblock me when I get stuck, and run mock interviews at the end. This is not a "teach me from scratch with your own materials" role — I have the curriculum already mapped out day by day. I need someone who can teach to that curriculum, adapt it if ne...

I need a clean CSV extracted from LinkedIn that lists current employees at a single target company who hold Sourcing-related titles. For every profile you capture, include only the essentials: • Full name exactly as it appears on LinkedIn • Total time they have worked at the company (years and months) • Current job title • Location shown on their profile No narrative role descriptions are required—just the four data points above, one row per person. Please use any reliable method you prefer (Python + Selenium, Phantombuster, Sales Navigator export, etc.) provided you comply with LinkedIn’s terms of service and the final file is delivered as a UTF-8 CSV ready for upload to Google Sheets. I will verify by spot-checking at least 10 random entrie...

I’m looking for a sharp analyst to turn my raw sales exports into clear, decision-ready insight focused on revenue growth. The data covers online and in-store transactions plus basic customer attributes; it just hasn’t been cleaned or modeled yet. Your mission: • Prepare and cleanse the files so every sale is accurately timestamped and attributed to product, channel and customer segment. • Build the model that lets us track revenue growth and uncover its drivers—product mix, regions, marketing channels, returning vs. new buyers, average order value, and seasonality. • Visualise the trends in an interactive dashboard (Tableau, Power BI, or similar) and supply a short slide deck that highlights the biggest growth levers and red flags. I’m flexible...

Machine Learning Pipeline – Job Market Analytics & Salary Prediction Created an end-to-end machine learning pipeline for looking at job market data and guessing what salaries might be. Key Features: Worked on. Fixed 10,000 or more job-market records using Python, Pandas and NumPy. Made an automated ETL/data preprocessing pipeline to take care of data cleaning, changing data making it all the same and checking if it is all the same. Added a PostgreSQL (Neon) database to keep data in a good way and help with machine learning work. Did analysis of the data. Looked at the features to find what helps predict salary. Trained a Random Forest regression model to guess salaries. Found that employee_residence is one of the things to use for guessing salaries. Built a Fas...