Most Companies Already Got Burned by Their Own AI Agents.
Most enterprises already had an AI agent security incident. Here's why hiring a human for oversight still beats trusting the agent alone.
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:
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 159,436 reviews, clients rate our Data Mining Experts 4.92 out of 5 stars.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:
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 159,436 reviews, clients rate our Data Mining Experts 4.92 out of 5 stars.Hi, I will share the details with the shortlisted candidates. Thanks
I’m a licensed real estate agent in Southeast Georgia looking for a reliable freelancer to make outbound calls to a list of homeowner leads (landlords and senior/high-equity owners). This is a warm, survey-style outreach — not hard selling — to gauge interest and gather basic info.
I have several batches of information that include plain text, numeric figures, and survey responses. All of it must be captured accurately, whether that means keying it in manually, loading it through an automated script, or completing online forms—whatever delivers clean, consistent results fastest. Once the records are in place, I also need a basic analysis: simple summaries, error checks, and descriptive statistics that show trends at a glance. A concise report or dashboard highlighting totals, averages, and any obvious anomalies will be enough; no complex modelling is required. Please keep the raw data tidy (uniform formats, sensible field names, no duplicates) and include the working files—spreadsheets or a lightweight database—along with the brief analysis ou...
I need a focused lead-generation effort aimed at India’s construction sector—specifically manufacturers of tile adhesives who purchase Hydroxypropyl Methylcellulose (HPMC) as a performance additive. Your task is to research, qualify, and deliver a clean list of companies that are realistic prospects for bulk HPMC supply. What the final hand-off must include • Company name, city/state, and website • Core tile-adhesive product lines (or brand names) • Key procurement or technical contact (name, title, direct phone, email) • Any public clues on current cellulose-ether suppliers or annual adhesive output, if you can locate them • Source link or note for every data point so I can verify accuracy I welcome whatever tools you normally rely on&mdash...
I need a reliable researcher to build a clean spreadsheet of Discord communities in three niches—crypto, online gambling / casino, and gaming—whose member counts sit between 100 and 5,000. For this first milestone I want 40-50 servers so I can review the quality before committing to an ongoing stream of work. Geographic focus Prioritise servers with strong user bases in India, Indonesia, Malaysia and other South Asian as well as South East Asian countries. If a server is global but clearly active in one of these countries (language, events, promotions), it still qualifies. Data fields to capture – Server name – Total member count (screenshot or note the date captured) – Estimated number of active members – Activity metrics: average daily mess...
I run a K-Pop dance–cover page and I’m ready to scale it far beyond its current reach. I need someone who has already taken Instagram accounts from roughly 500 k up to the million-follower mark and can repeat that success specifically within the K-Pop niche. What the day-to-day will look like: you will plan, create, and publish high-impact Reels featuring my dance covers, mix in timely K-Pop news and trends that matter to our fandom, and keep the conversation flowing in comments and DMs so every follower feels seen. Sophisticated hashtag research, smart use of Stories, and data-driven timing are essential; I’m counting on you to work the algorithm rather than fight it, always steering clear of bots or generic growth hacks that dilute the audience. I measure success by g...
We are looking for an experienced corporate trainer to deliver Classroom Training on Data Science and Data Engineering for a corporate client. Training Details: Mode: Classroom (In-Person) Duration: 30 Training Days Data Science: 15 Days Data Engineering: 15 Days Audience: Corporate professionals Location: Will be shared with shortlisted candidates Start Date: To be finalized Trainer Requirements: Strong hands-on industry experience in Data Science and Data Engineering. Prior experience delivering corporate training programs. Ability to explain concepts with practical examples, case studies, and hands-on labs. Excellent communication and presentation skills. Expected Coverage: Data Science Python for Data Science Data Analysis & Visualization Statistics & Machine Learning Model ...
I need a focused lead-generation effort aimed at India’s construction sector—specifically manufacturers of tile adhesives who purchase Hydroxypropyl Methylcellulose (HPMC) as a performance additive. Your task is to research, qualify, and deliver a clean list of companies that are realistic prospects for bulk HPMC supply. What the final hand-off must include • Company name, city/state, and website • Core tile-adhesive product lines (or brand names) • Key procurement or technical contact (name, title, direct phone, email) • Any public clues on current cellulose-ether suppliers or annual adhesive output, if you can locate them • Source link or note for every data point so I can verify accuracy I welcome whatever tools you normally rely on&mdash...
I have a dataset made up entirely of text fields that now needs professional data cleaning. The goal is to deliver a file in which every entry is consistent, readable and error-free so downstream analytics and reporting run smoothly. Here is what you can expect from the job: • Source file: an Excel/CSV sheet containing a few thousand rows of text. • Scope: full data cleaning—identifying inconsistencies, fixing obvious typos, unifying capitalization and spacing, and making sure no irrelevant characters remain. • Deliverables: the cleaned dataset in the same structure as the original, plus a brief changelog or summary of the transformations you applied so I can audit your work. If you are comfortable working with spreadsheet tools such as Excel or Google Sheets, ...
I have worked on multiple AI data generation and model evaluation projects involving both Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). My work included designing high-quality prompts, analyzing model responses, identifying reasoning and factual errors, and creating golden responses that served as the expected reference outputs. I worked extensively with repository-based tasks using Cursor, where I understood large codebases, executed run scripts, analyzed parse scripts, and validated both Pass-to-Pass (P2P) and Fail-to-Pass (F2P) test cases to ensure the generated solutions were functionally correct. I also reviewed code quality, verified outputs against expected behavior, and ensured compatibility with existing repositories. For tool-use and agenti...
I need a real-time data pipeline that ingests tick-by-tick football information from the Betfair API for each match taking place in the top five European leagues (Premier League, La Liga, Serie A, Bundesliga, Ligue 1). The feed must rely exclusively on this API—no scraping—so skill with Betfair’s Streaming or Historical service is essential. The stream should enrich every tick with contextual match metadata and persist it in an easily queryable store (PostgreSQL, parquet on S3, or a solution you propose). Low-latency processing is critical; sub-second lag from the API to storage is my target. I plan to run the pipeline on AWS, so please factor in services such as Kinesis, Lambda, Fargate or similar if they fit the design. Deliverables • Codebase (Python preferred...
I need a lean MVP that automatically hunts for conversations where my web app can be mentioned in a helpful, brand-building way. The workflow is straightforward: 1. Crawler • Scan Reddit plus Google News (blogs and articles surfaced). • Harvest threads and comments. 2. AI Scoring • Rank each conversation primarily on its relevance to the app and the overall popularity of the post or thread. • Ignore low-signal chatter; keep only high-potential mentions. 3. Drafting Replies • Use an LLM to generate a concise, promotional reply that feels organic and value-adding, not spammy. 4. Dashboard Review • Queue the top-scoring replies in a simple web dashboard. • I must be able to edit any draft before it goes live and q...
I’m organizing a 10-day, full-day Java Data Structures & Algorithms program in Chennai from 20 July to 30 July and need a trainer who can be on-site for the entire duration. Here’s what I’m after: • Content scope: please be ready to teach both basic concepts (arrays, stacks, queues, linked lists, trees, graphs, sorting/searching fundamentals) and advanced algorithms (dynamic programming, graph algorithms, greedy techniques, complexity analysis, etc.). • Mode: the sessions are strictly in-person; interaction and live problem-solving are key. • Experience level: an intermediate profile is ideal—someone confident enough to explain concepts clearly yet relatable to participants who may still be grasping the fundamentals. Trainers, freelancers...
I am looking for someone to help with data entry for a finance-related project. The data entry task involves both numeric and text data, and the data will already be provided. I need someone who is highly organized and able to complete this project in a timely manner. Accuracy and attention to detail are also very important in order to ensure the project is done correctly and efficiently. If you are interested, please contact me to discuss the project further. Thank you!
I'm looking for a skilled Python data engineer to help with several data processing tasks. The data is primarily sourced from procurement websites. Key Responsibilities: - Data cleaning and transformation - Integration of data from multiple sources - Building robust data pipelines Specific transformations required: - Data formatting - Data enrichment - Data aggregation Ideal Skills and Experience: - Proficiency in Python and data engineering tools - Experience with SQL databases, APIs, and CSV/Excel files - Strong background in data cleaning, transformation, and pipeline construction - Familiarity with procurement data is a plus Looking for someone who can efficiently handle complex data tasks and deliver clean, integrated datasets. In-house job in Kolkata preferred
Extract from Business Network(see attached file-Must match what we ask 1:1 and or give us suggestions based on that) based on profile of professional as any emails and link to their profile in a spread sheet any of the words attached HAS TO BE APPEAR in their profile description , otherwise we wont accept the record Give us a quote for 5000 emails , 10000 emails and 100,000 emails , Etc. We prefer accurate and fast extraction tools for these sites Each entry in a spreadsheet with the fields: Name, Email address, link to profile, Keyword found in profile (has to be any of the list attached) We need it in 1 Week you can start with 5000 email /records your delivery is an excel spread sheet based on what we asked in this project description box and what was attached for this pro...
I need a steady stream of fresh records—no fewer than 1,000 complete entries every single day—added manually to our online database. Each record combines both text and an image, gathered from the sources I will supply. What every entry must include: • Contact details (name, email, phone when visible) • Core product information (title, brief description, price or SKU) • A representative image, saved or linked exactly as found • A snapshot of current social-media activity (profile URL, follower count, last post date) You will key everything directly into our form or push it via CSV, keeping field order intact and avoiding duplicates. I run daily audits; incomplete or inaccurate items are removed from the count, so precision is as important as hitting t...
I need help pulling strictly numerical data from a handful of online databases and entering it into a spreadsheet template I will supply. Everything you collect will come directly from those databases—no PDFs, scans, or web-scraping from regular sites—so the task is about careful extraction, accurate transcription, and a quick cross-check rather than guessing or reformatting text. You will log in, locate the specified tables or dashboards, copy the required figures (row by row), and paste them into the correct columns of my Excel/Google Sheets file. A few fields may require you to apply the database’s built-in filters or basic calculations before recording the result, but there is no heavy analysis involved. Deliverable • A fully completed spreadsheet with every ...
I need help collecting data from clinical letters. The data includes: - Patient information - Diagnosis details - Treatment plans The extracted data should be delivered in a spreadsheet format. The clinical letters will be provided as digital text files. Ideal skills and experience: - Experience with data extraction and processing - Proficiency in spreadsheet software (e.g., Excel, Google Sheets) - Attention to detail and accuracy
I need all gym and fitness centres in USA if anyone already have prebuild data list for second sale pls place your bid with sample and total count
I need a clear-cut market area analysis centred exclusively on customer demographics, with income levels as the key metric. The purpose is to define the real-world catchment zone around my retail site, quantify its buying power, and visualise that data on an easily shareable map and concise slide deck. Here’s the flow I have in mind: • You delineate the catchment area (3km radius) using reliable GIS tools such as GapMaps, QGIS, ArcGIS or equivalent Python workflows. • You pull current demographic datasets for that footprint, summarising household income levels (median and segmented SEC tiers) as the primary metric, along with an age group breakdown (specifically highlighting the 18–45 adult demographic density). • You present the findings in two formats: a ...
B2B/B2C Lead Generation Specialist – Dubai Real Estate Market We are seeking an experienced, data-driven Lead Generation Specialist to build a pipeline of high-intent buyers and international investors looking to purchase real estate in Dubai. The goal of this project is to discover, extract, and vet target audiences (High-Net-Worth Individuals, expat buyers, and institutional investors) using purely digital, compliant, and modern extraction techniques. Key Responsibilities Targeted List Building: Source and compile verified leads (Name, Email, Phone, LinkedIn Profile, Country of Residence) focusing on international investors (GCC, UK, Europe, India) and local high-earning expats. Data Scraping & Mining: Legally scrape and extract public contact data from professional networks (...
I’m running several CPA campaigns and I need a fresh batch of email contacts that are guaranteed to pass Debounce (or an equivalent) with a very low bounce rate. The focus is strictly on email leads sourced from two places: reputable business directories and well-known e-commerce sites. Here’s what success looks like for me: • You pull the data ethically and accurately, respecting each site’s terms. • Every address is verified through Debounce (or a comparable validator) before delivery. • Final output arrives in a clean CSV or Excel file with, at minimum, email, source URL, and any publicly available name or company field you can capture. If you already have an efficient scraping workflow—Python + Scrapy/Selenium, Octoparse, Apify, etc.&m...
I require a fresh, accuracy-checked database of senior Swedish professionals—CEO, CFO, CIO, CTO, COO, Founder, CHRO, CMO and Sales Manager roles—spanning all sectora. The file must pair each contact with the official Swedish company registration number (organisationsnummer) of their current employer; I will validate this against Bolagsverket, so consistency is critical. Please source data from companies of every size, from startups through to large listed enterprises, and verify that every email is deliverable (no hard bounces). GDPR compliance and transparent data provenance are mandatory. Deliverables • CSV or Excel file containing: Full Name | Job Title | Work Email | Company Name | Company Registration Number • Bounce-rate guarantee below 5 % • Short n...
I already have a starter sheet with 300 Instagram profiles; I now need that list grown to 1,000 solid contacts. The focus is very specific: female models or single women aged 30–50 who live and work in the greater-DC, Northern Virginia, and Southern Maryland area (the DMV). I will share a few sample profiles so you can see the exact vibe and quality I’m after. Your search must stay on Instagram for this first phase and favour accounts that show real, active engagement on recent posts—empty-like or bot-driven pages won’t make the cut. When you find a match, add her details to the existing Google Sheet so everything stays in one place. Deliverables (Phase 1) • Google Sheet expanded from 300 to 1,000 entries • Columns: I will provide If the list mee...
Swiggy Sales Data Analysis Analyzed a large Swiggy orders dataset (196K+ records) using SQL and Python. Performed data cleaning, handled missing values and outliers, and conducted exploratory data analysis to identify sales trends, customer behavior, restaurant performance, and order patterns. Created visualizations and generated actionable business insights to support data-driven decision-making. Blinkit Sales Dashboard (Power BI) Designed an interactive Power BI dashboard to analyze sales performance, product categories, outlet performance, and customer purchasing trends. Used Power Query for data transformation and DAX measures to calculate KPIs, enabling stakeholders to monitor business performance effectively. Used Car Price Prediction Built a machine learning regression model in Pyth...
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