Data Mining Jobs
Data Mining is the process of collecting and analysing data sets to identify previously unknown patterns, correlations and trends. By using various techniques from statistics and probability to algorithms, data markets leverage data collection technology to extract interpretable insights from unstructured data. Data Mining also provides predictive analytics capabilities which can be used in a variety of industries such as market research, customer relationship management and risk management.
Data Mining experts with experience in market research, customer relations, analytics and machine learning are in high demand right now. They are able to quickly discover the hidden “gold” in large sets of data and help companies extract richer insights which they can use to make more informed decisions.
Here’s some projects that our expert Data Mining Experts have made real:
- Capturing website data and organising into a spreadsheet
- Gather contact information from a list of companies
- Research/surveys from IT employees from tech startups
- Scraping of data from directories for lead generation
- Downloading and uploading data from NIH sites
- Extracting data from Yelp
Data Mining helps clients unlock their full potential by giving them access to powerful insights which would otherwise be inaccessible. By leveraging Data Mining Experts on Freelancer.com, clients can get their own projects done to suit their own individual needs. We invite you to post your project today on Freelancer.com and hire an expert Data Mining Expert to help you with your needs.
From 158,951 reviews, clients rate our Data Mining Experts 4.91 out of 5 stars.Hire Data Mining Experts
Data Mining is the process of collecting and analysing data sets to identify previously unknown patterns, correlations and trends. By using various techniques from statistics and probability to algorithms, data markets leverage data collection technology to extract interpretable insights from unstructured data. Data Mining also provides predictive analytics capabilities which can be used in a variety of industries such as market research, customer relationship management and risk management.
Data Mining experts with experience in market research, customer relations, analytics and machine learning are in high demand right now. They are able to quickly discover the hidden “gold” in large sets of data and help companies extract richer insights which they can use to make more informed decisions.
Here’s some projects that our expert Data Mining Experts have made real:
- Capturing website data and organising into a spreadsheet
- Gather contact information from a list of companies
- Research/surveys from IT employees from tech startups
- Scraping of data from directories for lead generation
- Downloading and uploading data from NIH sites
- Extracting data from Yelp
Data Mining helps clients unlock their full potential by giving them access to powerful insights which would otherwise be inaccessible. By leveraging Data Mining Experts on Freelancer.com, clients can get their own projects done to suit their own individual needs. We invite you to post your project today on Freelancer.com and hire an expert Data Mining Expert to help you with your needs.
From 158,951 reviews, clients rate our Data Mining Experts 4.91 out of 5 stars.Hire Data Mining Experts
Oklahoma Online Form Submission Project – 41 Milestone Pay Structure I am hiring multiple freelancers for a large-scale Oklahoma business contact form submission project. This project will continue until all Oklahoma-based businesses that accept credit cards from customers have been contacted through their publicly accessible online contact forms. Please confirm in your proposal that you fully understand the milestone structure, upload requirements, and daily minimum production expectations. Pay is fixed according to the milestone schedule below and is non-negotiable. Freelancers are responsible for independently sourcing eligible Oklahoma-based businesses. No website list will be provided. Project Overview You will independently source Oklahoma-based businesses that: Accept credit c...
I'm looking for an expert who can integrate AI into our stock trading operations. The primary focus will be on predictive analytics. Key Requirements: - The AI should utilize market profile and order flow charts as data sources for its predictions. Ideal Skills: - Experience in AI development, specifically for financial markets. - Strong understanding of stock trading, market profiles, and order flow. - Ability to create accurate predictive models. Looking forward to your proposals!
I need a fresh list of UK-based tech startups that employ or are currently hiring Data Scientists. The goal is to build a highly targeted prospect database that my sales team can start using immediately for outreach. Here is what I expect: • 100 % UK addresses and company domains, all within the tech sector and classified as startups (seed to Series B). • Primary contact should be a Data Scientist or the person directly overseeing data science (name, verified work email, LinkedIn URL, company website, phone if available). • Each record must include company size, funding round (if public), and a brief note on the product or platform so we can segment messaging. • All data must be recent—scraped or validated within the past 30 days—and delivered in sp...
I need a fresh list of local real estate agents who are likely to have clients interested in buying mobile homes. My team will be reaching out by phone, so every contact must include the agent’s direct phone number along with name, brokerage, and—when available—email for follow-up notes. Please focus only on agents who actively work in my immediate market; statewide or national contacts won’t help here. I’m open to any research method you prefer—MLS data mining, county records, LinkedIn, web scraping—so long as the final spreadsheet is accurate, recent, and cleansed of duplicates. Deliverable • Spreadsheet (Excel or Google Sheets) with: Agent Name, Brokerage, Direct Phone, City/Zip, optional Email • Minimum 100 verified contacts, ea...
The main focus of this project is to identify and connect with cashew processing factories across key markets such as Vietnam and African countries, build relationships with decision-makers, nurture them over time, and convert them into qualified leads for CashewSoft ERP. The role involves researching and creating a detailed Cashew Industry Database by identifying factory names, owners, directors, production heads, contact information, LinkedIn profiles, country, processing capacity, current software systems (if available), and operational pain points. Each factory will be scored based on factors such as factory size, software usage, urgency of problems, and overall sales potential to prioritize outreach efforts. Rather than directly selling the ERP, the approach focuses on providing valu...
Brain disorder detection using Deep Learning Uses MRI brain scan images Detects multiple brain diseases automatically Early disease detection and diagnosis Multi-class classification system Diseases detected: Glioma tumor Pituitary tumor Meningioma tumor Alzheimer’s disease Healthy brain Uses Convolutional Neural Networks (CNN) Uses Transfer Learning techniques Models used: CNN VGG16 ResNet50 Dataset collected from Kaggle MRI datasets Combined brain tumor and Alzheimer datasets 1000 images used for training 250 images used for testing Image preprocessing and normalization Pixel values converted from 0–255 to 0–1 Feature extraction using convolution layers Pooling layers reduce computation Fully connected layers perform classification Softmax activation used for multi-clas...
I run a mid-sized UK company and want to replace a patchwork of manual tasks with one seamless, self-updating system. Everything starts and ends in Zoho CRM, so the solution must plug straight into that environment while letting me: Automate outreach & follow-ups • Build reusable email templates, marketing sequences and SMS triggers that fire automatically from Zoho when a lead is added, moved or closed. • Track every send, open and click so the CRM timeline stays complete and reporting is effortless. Gather high-value prospect data • Deploy web scrapers (Python, Scrapy, Selenium or a stack you recommend) to pull fresh contact details, direct mobile numbers and behaviour indicators from public sites and niche industry sources. • Clean, deduplicate and en...
I’m trying to confirm exactly how a specific individual is earning money online. My hunch is that they are doing it through freelancing rather than selling products or making investments, and I need solid evidence to back that up. Here’s the outcome I expect: a brief, verifiable report that shows which online freelance platforms or private contracts are paying this person, the type of gigs involved, and any traceable payment flows you can legitimately uncover. If your findings suggest a different income stream such as product sales or investments, include that too—objectivity is key. Please respond only if you have successfully handled similar digital-footprint or income-source investigations before. Point me to comparable past work so I can see the depth and reliabilit...
I am expanding our footprint in the transportation space and now need a consistent, reliable stream of fresh prospects. The assignment is 100 % devoted to lead generation—both B2B accounts such as fleet operators, logistics tech providers and supply-chain partners, and B2C customers who use or influence ground-transport services. Scope of work You will research, identify and validate contacts that match my ideal customer profiles, record them in the template I supply (or directly into HubSpot/Excel), and hand over a clean, de-duplicated list ready for outreach. Tools like LinkedIn Sales Navigator, Apollo, ZoomInfo, industry directories and public data feel natural for this task, but use whatever combination gets the job done efficiently and compliantly. Deliverables • 500 ...
I'm looking for a GitHub repository setup to showcase my data science projects. The primary purpose of this repo is to serve as a portfolio. Requirements: - The repository should include detailed README files with project descriptions. Ideal Skills and Experience: - Proficiency in Git and GitHub - Experience in creating clear and comprehensive README files - Background in data science projects I want to buy the access to git hub project I need the repos to be old and have a good commit history
Cancer Detection Using Machine Learning ## Project Overview I have developed a Machine Learning based Lung Cancer Detection system that predicts the likelihood of lung cancer using patient medical parameters and data analysis techniques. This project is suitable for: * Final year engineering students * Academic submissions * Research work * Machine Learning learning purposes * Healthcare AI projects ## Features * Data preprocessing and cleaning * Exploratory Data Analysis (EDA) * Machine Learning model training and testing * Accuracy evaluation and prediction system * Visualization graphs and reports * Easy-to-understand code structure * User-friendly implementation ## Technologies Used * Python * Scikit-learn * Pandas * NumPy * Matplotlib * Jupyter Notebook ## Deliverables * Com...
Title: Senior Web Scraping & Data Engineering Developer for Content Intelligence Platform Project Overview: I am building a content‑aggregation and insights pipeline that collects updates, posts, and signals from major online platforms and public sources. The output will support a monthly insights publication and a long‑term analytics framework. I am seeking an experienced developer from a cost‑efficient region with strong skills in web scraping, browser automation, data engineering, and API integration. Key Responsibilities: Build and maintain scraping workflows for platforms such as LinkedIn, X/Twitter, Reddit, Substack, Facebook, Instagram, and other public sources Implement browser-based automation using tools like Playwright, Puppeteer, or Selenium Use lightweight scraper...
Please be informed that we will take about a week to verify every single piece of data you share in your Excel file before we release your contest prize, in case you are the selected winner. _________________________________________ We are building a verified employer database for a growing recruitment platform in Ghana and are looking for freelancers to help compile accurate company and HR contact information. Participants are required to research and submit verified company data in the attached Excel template. Each submission should include: 1. Company Name 2. Industry 3. Location 4. HR Email Address (preferred) 5. General Company Email 6. Phone Number 7. Website URL We are interested in data from: Companies & Enterprises NGOs & Non-Profits Manufacturing Companies Financial In...
JuVirtual Data Analyst – Juldamian Store Position: Virtual Data Analyst Company: Juldamian Store Location: Remote / Work From Home Employment Type: Full-Time Salary: $2,800 per month Job Overview Juldamian Store is looking for a detail-oriented and motivated Virtual Data Analyst to join our growing team. The ideal candidate will be responsible for collecting, organizing, analyzing, and interpreting data to help improve business operations and support decision-making. Responsibilities • Collect and manage business and sales data • Analyze trends and generate reports • Maintain accurate records and databases • Identify patterns and insights to improve operations • Prepare weekly and monthly performance reports • Collaborate with team members remo...
I need Python code for data processing tasks. Essential requirements: - Proficiency in Python - Experience with data processing libraries (e.g., Pandas, NumPy) - Ability to write efficient, clean, and well-documented code - Problem-solving skills for complex data challenges Ideal skills: - Background in data science or analytics - Knowledge of data visualization tools - Experience with large datasets and performance optimization Looking for freelancers who can deliver high-quality, reliable code within budget. Please provide relevant work experience in your bids.
I need a clean, well-organised spreadsheet that lists independent businesses sitting no more than 250 metres from any river in England and Wales. The focus is on visitor-friendly spots—gift shops, garden centres, cafés, parks, boat-hire operators, farm shops, tourist attractions and other riverside venues that naturally draw footfall. For every qualifying business I want two key data points: a working email address and the most relevant contact name you can find (ideally the owner or manager). Street address, postcode, phone number or even map coordinates are welcome extras if they come up during your search, but the email and name are non-negotiable. You’re free to use whichever tools make the job efficient—Google Maps, OpenStreetMap, Companies House, LinkedIn, ...
I have a list of niche websites and need every relevant piece of text and its accompanying images extracted, organised, and delivered in a clean, ready-to-use format. I’ll share the URLs and the exact data points once we start, but expect a mix of article-style pages and media galleries. Scope • Capture both written content (headings, paragraphs, metadata) and all on-page images. • Provide the text in CSV or JSON and store images in clearly named folders that map back to the records. • Preserve basic structure—so each text record includes the image file name or path. • Respect and rate limits; the scrape must be discreet and repeatable. What I’d like to see in your proposal Please outline your end-to-end approach: preferred language or f...
I am launching a targeted lead-generation campaign and need a reliable dataset pulled directly from LinkedIn. The profiles you gather must include two key elements for every contact: • their up-to-date job title and current company • usable contact information (at minimum an email address—direct phone numbers are a plus) Please work with whatever tooling you are comfortable with—Sales Navigator, Phantombuster, custom Python scripts, Selenium, or another approach—as long as it respects LinkedIn limits and delivers clean, accurate data. Enriching the file with the public profile URL or location field would be helpful, but the core focus remains contact details paired with job/company information. Final delivery should be a well-structured Excel spreadshee...
We’re Hiring! Data Scientist | The Red Arc Location: Remote We’re looking for a passionate Data Scientist with 0 to 1 years of experience to join our growing team at The Red Arc. If you enjoy working with data, uncovering insights, and building intelligent solutions that drive better decisions, this opportunity could be a great fit. What we’re looking for: 0 to 1 Years of experience Degree in BE, BTech, BSc, MSc, or a related field in Computer Science, Data Science, Statistics, or Mathematics Strong foundation in Python, SQL, and data analysis Experience with data visualization tools such as Power BI, Tableau, or similar Familiarity with machine learning concepts and libraries like Pandas, NumPy, Scikit-learn Understanding of data cleaning, feature engineering, and mode...
I have a fresh operational dataset from a client and need clear, defensible trend insights built inside Altair AI Studio. The goal is to walk into our next steering-committee meeting with visual evidence of how key operational metrics are moving over time and what that means for capacity planning. You will: • Import the raw CSV/XLSX files into Altair AI Studio, set up a clean, commented workflow, and document every transformation step. • Explore and prepare the data Acceptance criteria • All analyses run end-to-end inside Altair AI Studio without external scripts. • Charts are labeled, legible, and exportable at 300 dpi. • Insights answer the “what’s changing and why might it matter?” question for at least three core KPIs. • Wor...
I need a seasoned OSINT investigator to carry out a thorough skip-trace and background check on a prospective hire. The assignment is national in scope, so you will have to search every relevant state-level and federal source rather than limiting yourself to a single locality. The final report must leave no unanswered questions. At minimum it should verify current employment status, detail any criminal background (convictions, pending cases, warrants), and map out the candidate’s social media footprint—including deleted or alias accounts where discoverable. I am looking for a comprehensive investigation, not a quick database print-out, so expect to dig into open court records, professional licensing boards, mainstream and fringe social networks, news archives, data-breach dump...
I’m building a nationwide outreach campaign and need a clean, high-volume contact list before I can even think about drafting the first email. Your task is purely data gathering: deliver an Excel file containing roughly 300,000 unique, verified contact emails for churches across all 50 U.S. states. Coverage I’m interested in broad Christian representation, with a particular emphasis on Protestant and Evangelical congregations, but I’m not excluding other mainstream Christian churches if they surface during your crawl. Data fields required • Church name • Contact email (preferably a monitored, general-inbox or pastor/office address rather than a generic “info@” that never gets read) Quality expectations • No duplicates—one ...
Assignment Description This assignment will allow you to apply the principles of data visualization to a real-world dataset. You will have to create a scatterplot and then interpret your graph. Dataset: Diamond Download Diamond prices.xlsx. This dataset contains multiple variables related to diamonds and their characteristics that you can analyze and visualize. Instructions Your task is to visualize with a scatterplot a potentially interesting relationship between two variables that is worth visually exploring. Scatterplot Creation Using the dataset provided, create a scatterplot that represents the relationship between diamond carats and prices (in USD). As there is a huge number of registers, let’s apply some filtering to plot just the best diamonds included in the...
I need a model for predicting the success of bariatric surgery in adolescents with diabetes using parameter estimation. The model should be based on clinical data. Data Available: - Clinical data: Medical history, Laboratory results - Preferred methods: Combination of statistical analysis and machine learning Ideal Skills: - Expertise in statistical analysis and machine learning - Experience with clinical datasets - Strong background in medical data interpretation
Hi, I need a high-quality LinkedIn Sales Navigator extraction of HR Directors (DRH) from French mid-market companies (100 to 300 employees) in 6 specific sectors. The leads will be used for highly personalized B2B outreach — quality matters far more than volume. ═══════════════════════════════════ DELIVERABLE ═══════════════════════════════════ A clean CSV (or Google Sheet) with exactly 100 qualified contacts, following the strict filters below. ═══════════════════════════════════ SEARCH FILTERS (Sales Navigator) ═══════════════════════════════════ PEOPLE: - Geography: France - Current job title (one of): • "DRH" • "Directeur des Ressources Humaines" / "Directrice des Ressources Humaines" • &...
I need an AI agent to search web pages and perform the following tasks: - Extracting data - Summarizing content - Identifying specific keywords The AI agent should handle both text and images. The extracted data should be saved in XML format. Ideal skills and experience: - Proficiency in AI and web scraping - Experience with data extraction, summarization, and keyword identification - Familiarity with XML data format - Ability to process and analyze text and image content
I have a collection of general-purpose images and need a complete Python-based pipeline that extracts meaningful features and classifies each image accurately. The project centres on image feature extraction and subsequent classification, so solid experience with OpenCV, scikit-learn or a deep-learning stack such as TensorFlow or PyTorch is essential. You will begin by deciding on (and justifying) an appropriate feature strategy—traditional descriptors like SIFT/ORB, transfer-learning from a CNN, or another proven method—then train and validate a classifier that reaches reliable accuracy on a held-out test set. Clean, well-commented code and clear, reproducible training steps are critical because I need to retrain the model as new data arrives. Deliverables • Python sour...
data analyst Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
More details: What is the primary goal of the project? Both login details and cookies How do you plan to distribute the spam emails? Email scraping What frequency do you prefer for sending the spam emails? Daily
I need a reliable script that can harvest contact details from a set of company websites I will provide. The information I’m after is any publicly listed email address, phone number and physical address that appears on those sites. Please build the scraper in a way that I can rerun it easily—Python with BeautifulSoup, Scrapy or Selenium is perfect as long as the code is well-commented and the output is clean. I prefer a single CSV (or JSON if you feel it suits the data better) with one row per company and distinct columns for each field you capture. Accuracy and completeness matter more than sheer speed, so let me know how long you’ll need once you see the list of domains. If you have questions about structure or formatting, ask before you dive in.
I have a clean, ready-to-use dataset and now need a complete predictive analysis pipeline built around it. The job is straightforward: take my data, explore it, engineer the right features, train and tune an appropriate model, and hand back production-ready code that I can rerun whenever new records arrive. Python is my preferred language, and I’m comfortable with common libraries such as pandas, scikit-learn, XGBoost, TensorFlow or PyTorch—feel free to choose whichever stack best fits the problem once you’ve inspected the data. Please keep everything reproducible: a single script or notebook, a clear , and comments that explain why each step was taken. Acceptance criteria • End-to-end code executes without errors on my machine. • Model delivers a measurab...
Saya sedang mencari analis data yang dapat mengurai dan menafsirkan data penjualan saya secara komprehensif. Latar belakang saya di bidang perbankan membuat saya terbiasa membaca angka, tetapi saya membutuhkan bantuan profesional untuk: • Membersihkan dan menstrukturkan dataset penjualan agar siap dianalisis. • Menemukan pola penjualan, tren musiman, serta produk atau channel dengan performa terbaik. • Menyusun rangkuman insight yang mudah dipahami, lengkap dengan visualisasi—grafik, dashboard, atau heatmap—yang bisa langsung saya gunakan untuk pengambilan keputusan. • Memberikan rekomendasi langkah praktis guna meningkatkan pendapatan dan efisiensi. Tools fleksibel; Excel, Power BI, Python (pandas, matplotlib) atau platform analitik setara dipersila...
Ho bisogno di un programmatore Python che sappia creare uno scraper affidabile capace di raccogliere, ogni settimana, i dati completi dei volantini dei supermercati nell’area di Cesena. Al momento mi interessano in modo esplicito Conad, Coop, DPiù, ma sono aperto a tutti gli altri punti vendita che pubblicano volantini online nella stessa zona. Cosa deve fare lo script • Visitare i siti e/o i PDF dei volantini, identificare ciascun prodotto e salvarne: – Nome esatto – Prezzo in offerta e, se indicato, prezzo originale – Categoria merceologica – Supermercato di provenienza e periodo di validità dell’offerta • Ritagliare l’immagine del prodotto e salvarla in locale in formato JPEG. • Popolare un dat...
Selengkapnya: Apa jenis pekerjaan freelance yang ingin Anda pelajari? Admin Tugas administratif apa yang ingin Anda pelajari? Entri Data Jenis data apa yang akan diolah? Data Penjualan, saya mau belajar menghasilkan uang lewat freelance
我要在淘宝“营商保职业打假人”通道发起一次举报并确保最终被平台判定成立,但目前手上缺乏合格证据。希望找到熟悉淘宝规则、了解侵权取证流程的专业人士,协助我完成整套数据和文件收集及举报提交。 工作内容 1. 明确举报要点 - 结合我的陈述,确认商品/店铺的违规类型与适用条款。 2. 证据与资料搜集 - 侧重“数据和文件收集”,抓取相关商品页面信息、交易记录、关联资质文件等; - 确保格式、时间戳、链路等均符合淘宝取证要求。 3. 资料整理与合规校验 - 将所有文件归档为可直接上传的压缩包或链接,附清单与说明; - 核对缺漏,避免被平台驳回。 4. 举报提交及跟进 - 指导我在“营商保”后台逐步填写或代为提交; - 后续如需补充材料,及时协助补交直至官方受理通过。 交付标准 - 一套符合淘宝审核格式的证据包(含原始数据、截图、说明文档)。 - 已成功提交并显示“待平台审核”或更高状态的举报记录截图。 - 简短操作说明,便于我后续自行复用流程。 若你熟悉淘宝、天猫知识产权保护体系,擅长信息抓取与文档整理,请告诉我你的相关经验及预计所需时间。
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