Data Mining Jobs

I need investment performance data scraped from a research website and organized into an Excel file. It needs to be set up for scraping on a regular basis. Requirements: - Experience with web scraping tools and techniques - Ability to extract and format data accurately - Proficiency in Excel - Attention to detail and reliability Ideal Skills: - Familiarity with Python, BeautifulSoup, or similar scraping libraries - Prior experience with financial data - Strong data handling and manipulation skills Please provide a sample of your previous work related to web scraping.

I’m completing my MTech at GTU and my approved thesis topic is sentiment analysis of hotel reviews collected from major online review websites such as TripAdvisor and Booking.com. I need a data-savvy NLP partner who can work with me across the full research pipeline—from harvesting the raw reviews to writing up publish-ready results. Here’s what I have in mind: • Build and share a reproducible scraper or API workflow that gathers a sizeable, legally usable corpus of hotel reviews (ideally 50 000+). • Clean, label, and explore the text so we can isolate meaningful sentiment signals; I’m open to focusing on customer satisfaction, service quality, room amenities, or any mix that produces the most insightful output. • Develop both baseline keyword ap...

Scope of Work: Automated Data Extraction and Alert System from Etimad Tenders Portal Project Title: Automated Data Scraping, Google Sheets Integration, and Email Alerts for Etimad Pre-Planning Opportunities 1. Background The Etimad platform ( ) publishes pre-planning and upcoming tenders from Saudi government entities. The goal is to develop a fully automated system within two days that extracts tender data, stores it in a structured Google Sheet, and sends email alerts when new opportunities appear that match specific keywords (to be provided). 2. Objectives Automatically extract all relevant tender data from the Etimad Pre-Planning portal. Store and update the extracted data in Google Sheets on a scheduled basis. Detect and highlight new tenders. Send email alerts for new tenders...

I’m ready to turn a fresh idea into a working MVP and need an AI specialist who can own the end-to-end predictive analytics layer. The single most important outcome is a model that takes my existing data, produces reliable forecasts, and is simple enough to slot straight into a lightweight product demo. Here’s the scope in plain words: • Select and train an algorithm that balances accuracy with speed—feel free to use Python, TensorFlow, PyTorch, or another framework you prefer, so long as the environment is reproducible. • Wrap the model in a small REST or GraphQL API so I can call predictions from a basic front-end. • Hand over deployment instructions for a cloud environment (AWS, GCP, or Azure—your choice) so the MVP runs in a real setting, n...

I have a complete export of my website analytics and need a data-savvy partner to turn those numbers into a clear story. The sole focus is web traffic: no sales or survey figures are involved. I want to surface user-behavior patterns so I can see exactly how visitors flow through the site and what they do once they land. More specifically, I need insight on: • Page views and navigation paths — where users enter, where they drop, and the common journeys in between • Interactions with elements (clicks, scrolls) — which buttons, links, or sections grab attention and which are ignored Raw data can be delivered in GA4, server logs, or CSV form; you pick the environment you feel most comfortable in (Python, R, SQL, BigQuery, or a BI tool such as Tableau, Power BI, o...

I am assembling a large-scale database of verified business contact emails for manufacturers and suppliers based in mainland China. The exact sector is flexible—electronics, textiles, automotive, or any other industry is acceptable—so long as each record represents a genuine factory or wholesale supplier. What every entry must include is: • A working contact email address • The corresponding city or province within China Extra columns such as company name, product line, phone, or website are welcome bonuses, but the location paired with the email is non-negotiable. Quality matters more than quantity, yet I still need a minimum of 20,000 unique contacts. I will run random bounce checks, so a failure rate above 5 % or noticeable duplication will require a clean...

I’m looking for a curious, data-driven analyst who can carry out rigorous market research with one clear purpose: pinpoint emerging trends and untapped opportunities. This project isn’t about compiling a generic industry overview; I want actionable insight that can guide product and go-to-market decisions. Here’s how I picture the workflow: • You’ll help me define the exact market segment we should interrogate, drawing on preliminary signals and any early hypotheses I share. • Using publicly available datasets, reputable industry reports, social-listening tools, and news/API scraping where appropriate, you’ll build a fact-base that shows where demand is growing, which customer needs are still underserved, and what macro forces are driving change. ...

I already have a curated list of LinkedIn profile URLs and need the key networking details moved into a single Google Sheet. For every profile, capture each person’s stated interests and list the five types of people they say they want to meet. Those “meet-up” types should be tagged under the three clear categories I care about—Industry experts, Potential clients and Collaborators—so that I can later filter the sheet by networking goal. Please place one profile per row in the Google Sheet and create separate columns for: • Profile URL • Name (as it appears) • Interests (comma-separated) • Type 1 through Type 5 (verbatim wording) • Category tag (Industry experts / Potential clients / Collaborators) Accuracy of the text you...

Subject: Expert in Data Extraction (Python/Excel) – Ready for Quick Turnaround ​Hi there, ​I am a Computer Science Engineer with strong expertise in Python and Data Processing, making me an ideal fit for your PDF data extraction project. I understand you need financial data accurately extracted from various invoices into a clean Excel format. ​Why choose me? ​Automation for Accuracy: I can use Python libraries (like Pandas and PyPDF2/Camelot) to ensure 100% accuracy and handle multi-page invoices efficiently. ​Filtering Logic: I will implement a custom script to automatically filter out non-financial pages, ensuring only relevant data reaches the final sheet. ​Quick Turnaround: I understand you need this done fast. I can start immediately and deliver a standardized, error-free Excel ...

I am assembling a large-scale database of verified business contact emails for manufacturers and suppliers based in mainland China. The exact sector is flexible—electronics, textiles, automotive, or any other industry is acceptable—so long as each record represents a genuine factory or wholesale supplier. What every entry must include is: • A working contact email address • The corresponding city or province within China Extra columns such as company name, product line, phone, or website are welcome bonuses, but the location paired with the email is non-negotiable. Quality matters more than quantity, yet I still need a minimum of 20,000 unique contacts. I will run random bounce checks, so a failure rate above 5 % or noticeable duplication will require a clean...

I need a comprehensive systematic review on the efficacy of Laser-Activated New Attachment Procedure (LNAP) with Scaling and Root Planing (SRP) versus open flap debridement in treating periodontal defects. Key Requirements: - Include studies from PubMed, Cochrane Library, and Google Scholar. - Perform statistical comparisons and meta-analysis. Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis. - Strong background in periodontal research. - Proficient in statistical analysis software. - Familiarity with the specified databases. Please provide relevant credentials and experience in your bids.

I need an expert in Python to help with data analysis and processing tasks, specifically focused on unstructured data such as text or images. The ideal candidate should be proficient in Python libraries and tools designed for handling unstructured datasets. Your role will involve creating scripts or solutions to extract insights, patterns, or other relevant analyses from the data provided. If you have a strong command over libraries like Pandas, NumPy, or specialized tools for text and image processing, I’d love to hear from you.

I have a single Instagram Reel that was publicly available for roughly a year before being removed or placed in archive. I saved every trace I could—direct links, full-length screen recordings, and the search-engine cache hits that still reference the post. What I now need is a technical reconstruction of its viewership data. Your objective is to extract and corroborate: • Number of views over time (ideally plotted or tabled) • Any available demographic clues about who watched it • Engagement rates the Reel achieved while live Because the original URL now returns a 404, I expect most of the intel will come from open-source techniques: exploring Web archives (Wayback Machine snapshots, Google cache, ), digging into any residual JSON, and cross-referencing with Ins...

I have two source spreadsheets that I need merged and enriched through automated scraping: • “File 1” – 170 k Spanish local businesses with emails • “File 2” – 65 k additional businesses with websites only Phase 1 – Email extraction Using a Python script and well-known libraries (requests, BeautifulSoup, Scrapy or similar), scan every site listed in File 2, capture all working email addresses you can locate, then append them to the corresponding rows so I can produce a unified “File 3”. Phase 2 – Offer harvesting Next, visit each live site in File 3. Where an offer, deal or promotion is publicly displayed, record the details in a fresh Excel sheet with these exact columns: Business ID | Business Name | Offer...

I need a data scraping expert to help generate leads from a list of websites. Requirements: - Scrape contact information, product listings, or user reviews (to be specified). - Work from a provided list of URLs. Ideal Skills: - Experience with data scraping tools and techniques. - Ability to handle multiple URLs and extract data accurately. - Attention to detail and reliability. Please share your portfolio and relevant experience.

Industrial Automation Product Data Extraction, Deduplication & Structured Image Collection Project Overview We are an industrial automation parts distributor building a structured product database to support inbound enquiries and SEO growth. We require an experienced data extraction specialist to: Extract structured product data from major industrial / electronic component distributor websites Identify duplicate manufacturer part numbers across multiple sources Merge all unique information into a single consolidated dataset Extract and organise all available product images per part number Deliver a clean, deduplicated, production-ready dataset This project includes: Data extraction Normalization Deduplication Intelligent merging Structured image collection and organisation...

I need an expert to develop predictive models using AI on airway assessment parameters for my research thesis. The project needs to be completed within a month. Key Requirements: - Expertise in AI and machine learning - Experience with predictive modeling - Familiarity with healthcare data, especially airway assessment parameters - Strong analytical skills Ideal Skills and Experience: - Background in data science or related field - Proficiency in programming languages such as Python or R - Experience with AI tools and frameworks - Ability to interpret and visualize complex data Please provide a portfolio with relevant experience.

I'm seeking an experienced NLP developer to build a real-time pipeline that ingests text streams via API in JSON format. The primary purpose is sentiment monitoring. Key requirements: - Classify sentiment and categorize events - Output calibrated confidence levels - Deduplicate and validate data using rules - Log all activities for production Ideal skills and experience: - Proficient in NLP and machine learning - Experience with real-time data processing - Strong knowledge of API integration - Familiarity with data validation and logging techniques Please provide relevant portfolio and experience.

I’m launching a focused pollution-control study on local waterways and need a researcher who can turn scattered information into a clear, evidence-based picture of what is really happening beneath the surface. The core of the job is data: finding it, validating it, analysing it and turning it into insights decision-makers can act on. You will help me locate and compile raw water-quality figures—field samples, public monitoring stations, satellite or drone readings, academic papers, anything reputable—then clean and merge those datasets in a way that lets us spot patterns of contamination over time. Solid skills in Excel, Python or R for data wrangling, plus basic GIS mapping to visualise hotspots, will be essential. Once the numbers are in shape, I’ll rely on you ...

We are looking for an experienced and reliable lead generation specialist with a strong understanding of the cryptocurrency and blockchain space. Your primary responsibility will be sourcing high-quality, targeted crypto leads based on defined criteria. This may include (but is not limited to): • Identifying potential investors, traders, or crypto-interested users • Sourcing business leads within the blockchain / Web3 ecosystem • Collecting accurate contact details and relevant data • Ensuring leads are verified and up-to-date Requirements: • Proven experience in lead generation (preferably in crypto / blockchain niche) • Strong research skills and attention to detail • Ability to deliver accurate, high-quality data • Familiarity with crypt...

I have a fully categorical data set and I want to explore a Reinforcement learning approach to achieve Clustering—steering clear of the usual supervised pipelines. The core goal is to let an agent interact with the data space, discover coherent groups, and maximise a reward function that reflects intra-cluster similarity and inter-cluster separation. Here is what I need from you: • Clean, well-commented code (Python preferred) that builds the reinforcement environment around the categorical features, implements the agent, and trains it until a stable set of clusters emerges. • A brief report or notebook showing how the reward signal is defined, how you tuned hyper-parameters, and how the resulting clusters can be interpreted or visualised. • Clear instructions so...

I need a clean, accurate database of 15,000 accounts-payable contacts at privately-owned companies across the United States. For every record I must have the person’s full name, job title, company name, corporate email, and direct phone. These addresses must pass an email-verification sweep (NeverBounce, ZeroBounce or comparable software) so the final file is ready for outreach with a very low bounce rate. My ideal file arrives as a single CSV or Excel workbook that includes the verification status for each email plus a summary report from the tool you used. Bounce-free delivery is essential; anything over 2 % will require replacement. Please source only true A/P decision makers—no generic “info@” or “sales@” inboxes—and avoid public-sector organ...

I need assistance merging my current football dataset with a new one. This new dataset will be sourced from online scraping of weather and expected goals (Xg) data. Requirements: - Scrape data from official weather and football statistics websites. - Integrate the following weather data: temperature, humidity, and precipitation. - Work with datasets in Excel format. - Correlate this new data with historical football match data in my existing dataset. Ideal Skills and Experience: - Proficiency in data scraping and data manipulation. - Experience with Excel and handling large datasets. - Familiarity with weather and football data. - Strong analytical skills to ensure accurate correlation of datasets. Looking forward to your proposals!

I’m looking for a data engineer who can take full ownership of a daily web-scraping workflow aimed at ongoing market research. The job centers on extracting selected data points from public web pages, transforming them into a clean, structured format, and making them available for analysis every 24 hours. Here’s what I need you to handle from end to end: • Source acquisition – fetch HTML from the URLs I provide, even when content is hidden behind JavaScript (a headless browser such as Playwright or Selenium is fine). • Parsing & cleansing – pull the specific fields I’ll list (product name, price, SKU, availability, and a time-stamp), remove duplicates, and standardize values. • Storage & delivery – load the daily output into ...

I need a fresh batch of 100 leads for companies that hire fully-remote talent inside the United States—please do not slip in even one onsite opportunity or the file will be rejected. Every contact must be a senior decision-maker: CEO, CTO, COO, Co-Founder or Founder. Focus sectors and split: • 25% UI/UX design opportunities • 25% WordPress (custom builds or page builders) • 25% pure Front-end development • 25% Shopify development Essential data points for each lead: 1. Work email address 2. Direct phone number 3. Exact job title Acceptance criteria • All addresses must pass a verification tool with an overall bounce rate below 3%. • Numbers must connect to the person or their executive assistant, not a generic switchboard. &b...

I need a complete machine-learning pipeline that can look at medical images—specifically plain-film X-rays—and tell me whether each study is of the chest, abdomen, or an extremity. All input files will be standard hospital exports (mostly DICOM, occasionally PNG/JPEG), so the model must handle typical variations in resolution and contrast. What I’m after is a reproducible, well-documented solution: data preparation, augmentation, model architecture (a CNN in TensorFlow, Keras, or PyTorch is fine), training, and evaluation. Please include class-balanced splits, explain any preprocessing you apply, and show the metrics you achieve on an unseen validation set. Deliverables • Python code with clear comments for preprocessing, training, and inference • Trained ...

I am currently using apify for $1.5/1000 leads. Need things at scale - around 50k emails, this need cost effective solution. Bid on this proposal and I shall DM you, need to know cost for: 1. Apollo emails 2. Linkedin emails

I need a one-time, UK-wide scrape that captures every wedding-related business you can find across England, Wales, Scotland and Northern Ireland—no single directory limitations, so feel free to pull from any public site that meets the brief. Deliverable • A single Excel file containing the following columns: URL, Business Name, Full Address, Post Code, Telephone, and every email address that appears on the site (not just the first one you find). • The sheet should be neatly de-duplicated and ready for filter/sort. Business types to include • Wedding & Bridal Wear • Wedding Planners / Services • Wedding Cars, Horse & Carriages • Wedding Venues • Photographers & Videographers • Florists & Wedding Flowers •...

I need every public phone number that appears on gathered into a single, well-structured Excel workbook. Please crawl the entire site, not just a few sections, and return each number alongside the key profile details that make the data usable at a glance—name, profile URL, and any other easily captured identifiers shown next to the number. A clean .xlsx with one row per profile, no duplicates, and clearly labelled columns is the only deliverable I’m expecting. If you prefer Python, Scrapy, Selenium, Beautiful Soup or a comparable stack, go ahead; I’m interested in results, not the specific toolset, as long as the script can be rerun later should the site content change. Before delivery, double-check that: • every row contains a valid phone number and url • n...

I need a detail-oriented annotator to prepare a new dataset for machine-learning experiments. The raw data and exact labeling guidelines will be shared once we start, but expect a mix of files that may include images, text, or audio. Consistent, high-quality labels are the priority; clear documentation of any edge-case decisions you make is part of the job. You are free to work any time of the day. When you deliver, I will run a random sample quality check—please aim for at least 98 % agreement with the guideline examples. If you have a proven track record in data labeling and can start right away, let’s talk about scope and timelines so we can lock in milestones and begin.

I need a senior-level specialist to harvest product data from several e-commerce sites and deliver it in a single, well-structured CSV file. The task demands production-ready techniques—think Scrapy spiders hardened with rotating proxies, Selenium or Playwright for dynamic content, and solid anti-bot countermeasures. The information I’m after is very specific: product names, prices, pictures, and SKU. Nothing less, nothing more. Your solution must run reliably at scale, cope with frequent layout changes, and leave no trace that could trigger blocks. Python is the preferred stack, but if you have a proven alternative that meets the same bar, I’m open to hearing it. To be considered, include in your proposal: • At least one example of a comparable e-commerce scrapi...

We want to do this in a consulting / facilitators / builders format in which we work with the facilitator / consultant / trainer for 3-6 hours a week for 3-6 months in order to help us collaboratively create various agents for our private equity business. The only billed time will be the time spent on the video call with our team, unless specifically approved otherwise. we want to be able to create a screen scrape tool to average certain cost items of specific real estate proejcts We also want to compare legal documents vs term sheets and excel spreadsheets Data sources • Company databases (SQL, flat files, Excel exports) - Dropbox all our files are in drop box • Extensive web scraping for competitor benchmarks and investment-market signals If you have ideas for safely add...

Key Responsibilities: • Design, develop, and deploy AI/ML solutions end-to-end • Lead AI architecture and solution design for enterprise applications • Build and optimize machine learning and deep learning models • Deploy and monitor models in production environments • Collaborate with cross-functional teams including product and engineering • Mentor junior AI engineers and contribute to technical leadership • Conduct research and implement state-of-the-art AI techniques • Ensure data quality, security, and model performance optimization Required Skills & Qualifications: • 10+ years of experience in AI/ML or Software Engineering roles • Strong proficiency in Python and data processing libraries (NumPy, Pandas) • Hands-on experienc...

I need webscraping expert to scrape data and export to excel from Indiegogo. Details I need for the projects are: Title: Project title. Category: The category of the project based on Indiegogo categorization system. Category: The sub-category of the project based on Indiegogo categorization system. Close Date: Close data of the campaign. Open Date: Open date of the campaign. Currency: Currency used for collected funds. Funds Raised: The amounts of funds raised. Funds Raised Percent: The percent of funds raised from the targeted funds. Funding Target: The targeted amounts of funds by the campaign initiator to be collected. Country: Country in which the project is based. Publisher: The name of the campaign initiator. Backers: The number of people who decided to fund the campaign. Updates: ...

I need to build a reliable, well-structured lead list and I already know exactly what it should contain. The task is to extract contact information—email addresses, phone numbers and full mailing addresses—from three sources: company and organisation websites, their public social-media profiles, and well-known online directories. I expect the data to be gathered with a solid scraping workflow (Python, Scrapy, BeautifulSoup, Selenium or an equivalent stack is fine) and then verified so that bounced emails and dead numbers are kept to an absolute minimum. Deliverables • One CSV or Excel file with separate columns for name, company, job title, email, phone, street address, city, state, ZIP/postcode, country, source URL and date collected. • No duplicates; every...

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I need to obtain hard-to-reach details—specifically the IP address, associated phone number, and any location-related information—linked to one particular Telegram account. Standard OSINT searches have already been exhausted, so I’m explicitly open to advanced, purely technical hacking techniques that dig directly into Telegram traffic or MTProto behaviour. If this is within your skill set, tell me how you would approach the task, which tools or exploits you prefer to leverage, and what minimal input you require from my side (e.g., username, recent message, session file). Deliverables • Verified current or last-seen IP address for the target account • Recovered phone number (or clear statement if technically impossible) • Any additional address or geo...

We are looking to hire an experienced freelancer for B2B contact data scraping using Apollo.io. Project Requirements Scrape contact data using Apollo filters provided by us Data must be extracted only after confirming filters are correct We will start with one state, and if the data quality is good, we will assign more states Data Fields Required Each contact must include: Full Name Job Title (Decision Makers only) Company Name Business Email (Verified) Phone Number / Mobile (where available) Company Revenue Location (City, State, Country) Company Website / LinkedIn Quality Expectations No dummy or generic emails No duplicate records Clean, structured, and fresh data Apollo-sourced data only Process We provide filters Freelancer applies filters and shares sample data ...

Sto avviando un progetto di intelligenza artificiale pensato per gestire e ottimizzare i processi di marketing e vendite. Cerco una figura capace di: • Analizzare i dati esistenti (CRM, campagne, fatturato) per individuare pattern rilevanti. • Automatizzare attività ripetitive, come l’invio mirato di e-mail o la profilazione dei lead. • Generare insight in tempo reale che guidino le decisioni commerciali. • Fornire previsioni sull’andamento delle vendite e sull’efficacia delle iniziative di marketing. Mi interessa una soluzione funzionante end-to-end: dal reperimento e pulizia dei dati alla messa in produzione del modello, con dashboard di reportistica chiara e documentazione di utilizzo. Preferisco tecnologie consolidate (Python, scikit...