Data Mining Jobs

I'm looking for a detailed analysis of our inventory data, specifically focusing on product turnover. The key insight I need is understanding seasonal sales trends. Essential Requirements: - Analyze product turnover data - Identify seasonal sales trends Ideal Skills and Experience: - Expertise in data analysis, particularly with inventory metrics - Strong analytical skills to uncover seasonal patterns - Experience with data visualization tools to present findings clearly - Ability to deliver insights that can inform business strategy

ReflectiveRAG: Rethinking Adaptivity in Retrieval-Augmented Generation ReflectiveRAG uses a lightweight language-model controller to judge whether the retrieved evidence is sufficient and to reformulate the query when necessary. A contrastive embedding filter then removes redundant or weakly related passages, improving grounding under heavy retrieval noise with limited extra latency. Proposed Project: Adaptive Reflective RAG with a Jury of Judges We already have a working modified RAG system that combines techniques such as hybrid retrieval, reranking, and context compression. These methods improve retrieval accuracy and reduce irrelevant information. However, the current system follows a mostly fixed process and cannot decide for itself when the retrieved evidence is insufficient. The nex...

***must read the description*** I’m compiling a list of 1,000 Instagram-active realtors located in the United States whose accounts sit in the 0–5 k follower range. Each profile must regularly upload video content—specifically property tours, market updates and client testimonials—and yet still suffer from Poor video quality. These are the agents I can help the most, so I need solid, accurate data. What I need from you Provide a spreadsheet (Excel or Google Sheets better) with one row per lead and the following columns: • Name • Instagram username (with profile link) • Email address • Phone number • Current follower count • Note on what’s weak in their content (focus on the video-quality issue) • Date the la...

I need a clean, up-to-date spreadsheet that lists Polish companies at scale. The file must contain three columns only—Company Name, Email Address, and Sector—and total no fewer than 300 000 unique records. Automated web-scraping or API harvesting is the only collection method I will consider; manual research is out of scope. Please structure the delivery as a single XLSX (or compatible) file. In your proposal tell me: • how many records you can supply for each sector you intend to cover, • your total price for the full dataset, and • the estimated turnaround time. Data quality matters: I will sample for duplicate domains, obvious syntax errors, and bounced addresses, so plan for basic validation before hand-off. If this is within your capabilities, I look ...

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...

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...

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...

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...

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...

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...

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...