Інтелектуальний аналіз даних Jobs

I have a large collection of raw text documents and images that I need turned into clear, actionable insights. The job centres on exploratory data analysis rather than predictive modelling: I want to understand patterns, themes and relationships hidden inside both formats. Here is what I expect at the end of the engagement: • A well-commented Python (or R) notebook that walks through preprocessing, cleaning and exploratory techniques applied to the text and image sets. • Concise visual summaries—charts for the text, heat-maps or feature plots for the images—exported in high-resolution formats I can drop straight into presentations. • A short written report (PDF or Markdown) highlighting key findings, unusual correlations and any recommendations that emerge...

Looking for a Google Maps Google My Business Lead Generator, 50,000 leads per order. This is for immediate work and opens doors to regular assignments with us. We are looking to work with a GMB expert scraper who knows how to manage similar keywords and area keywords to extract all the property and construction related businesses in England, UK for ongoing marketing campaigns. England only. Must use maximum granularity in category descriptors and area descriptors. Scope of work - Generate 50,000 leads from Google Maps. - Utilize Google My Business for lead generation. - Provide leads in specified format or system. - Data columns: Keyword Name Full_Address Street_Address City Zip Municipality State Country Timezone Phone_1 Phone_Standard_format Email Address Website Domain First_category ...

I have a sizeable collection of banking data made up exclusively of loan transactions. I want to put this data to work by applying AI-driven analytics that uncover useful business insights. Your task is to take the raw transaction records, prepare them for analysis, and deliver clear, data-backed findings that I can act on. Scope • Ingest and clean the loan-transaction dataset (formats are CSV and SQL export). • Apply appropriate statistical or machine-learning techniques to surface patterns, anomalies, trends, and any other insights that add value. • Present the results in a concise written report and a reproducible notebook or script (Python preferred, but I am open to R or other industry-standard tools) so I can rerun the analysis with future data. • Include...

I’ll hand over three raw datasets—sales transactions, customer demographics, and product inventory—spanning several stores. Your task is to stitch them together, clean inconsistencies, and delve into them with Python. Using Pandas, NumPy, and Matplotlib (feel free to add Seaborn or Plotly if that speeds insight), uncover how buying behaviour shifts: • weekday versus weekend • month by month I’m interested in concrete, data-backed stories: which products spike on Saturdays, whether certain customer segments shop more mid-week, seasonal category swings, ticket size trends, and anything else you spot that helps me fine-tune promotions and staffing. Deliverables • A merged, tidy dataset ready for future modelling • A well-commented Jupyter n...

Experienced Data Scraper Needed – C-Level Contacts in Jewelry Retail (KSA & Qatar) Description: We are looking for a highly experienced and reliable data scraping specialist to collect accurate contact details of C-level executives and key decision makers from the jewelry retail industry in Saudi Arabia (KSA) and Qatar. If you only know basic scraping, this job is not for you. We need someone who understands data accuracy, validation, and structured delivery. Scope of Work: • Identify jewelry retail companies in KSA and Qatar • Extract verified details of: • CEO / Founder / Owner • Managing Director / General Manager • Head of Operations / Procurement / Retail • Provide the following data fields: • Full Name • Job Title • C...

I have a collection of websites that hold the textual information I need consolidated into a single, well-structured dataset. Rather than copying the material manually, I want the process handled through reliable web-scraping tools so the capture is fast, consistent, and repeatable. Your task is straightforward: • Build (or adapt) a scraper that targets the pages I specify, pulls only the relevant text, and skips ads, navigation links, and other noise. • Deliver the harvested content in a clean CSV or Excel file with clear column headings; if you prefer a database export, let me know and we can adjust. • Include the finished script or notebook so I can rerun the extraction later. Accuracy and formatting matter more to me than sheer speed, so please allow time for basic...

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ob Title: Data Scientist Role Overview: We are seeking a Data Scientist to help us transform our CRM, Gradlynk, into a more intelligent, AI-driven platform. The role will focus on leveraging data to enhance student engagement, improve learning outcomes, and optimize operational efficiency across our edtech ecosystem. Key Responsibilities: -Collect, clean, and analyze data from Gradlynk and other sources to generate actionable insights. -Develop predictive models and machine learning algorithms to personalize student experiences and forecast performance trends. -Collaborate with IT, Product, and Operations teams to integrate AI-driven features into Gradlynk. -Translate complex data findings into clear recommendations for educators, administrators, and business stakeholders. -Monitor an...

Looking for a computer type to scrape a consumer review site looking for photos posted by consumers who are reviewing plumbing companies based anywhere in California. If this works, out, then will branch out to other states. I do not want photos posted by the plumbing business, only photos posted by consumers who are reviewing the California based plumbing business. As to the photos I am looking for, the photos sought are specifically printed plumbing contracts. You should be familiar with scrapers like Python with BeautifulSoup, etc, how to use a rotation of residential proxies to prevent your IP address from being banned, etc. Here is a site that partially explains one way to do it: Run it and let me know how many images of plumbing contracts you come up with posted by consumers re...

I have a single wallet address and must understand which exchange or operator controls it. The job centres on transaction-pattern analysis rather than smart-contract performance or general network security. Using your preferred on-chain analytics stack—Etherscan, Blockchair, Chainalysis Reactor, Crystal, or similar—map the flow of funds, identify clustering links, and present evidence strong enough for compliance or investigative review. You will receive: • The wallet address in question • A brief chronology of the activity I have already logged I need back: • A concise report that names the most probable exchange/operator behind the wallet, with screenshots or query exports backing each conclusion • A clear explanation of the heuristics you applied (e.g.,...

I’ve created a Google Sheet that will act as a central “lead collector,” and I need it filled with fresh, accurate contact data pulled from publicly available sites. The focus is simple yet crucial: for every company you find, capture the homepage URL and a working email address. (ask for details in the sheet ) A completely ethical approach is non-negotiable—no gated content, no third-party lists, and no automated harvesting that violates site terms. I’m happy for you to use tools you’re comfortable with (Python, Scrapy, BeautifulSoup, Selenium, Google Apps Script, etc.) as long as you respect and rate limits. Email addresses must appear in plain text within the sheet; please avoid hyperlinks or HTML encoding. Deliverables • A Google Sheet ...

I’m assembling a nationwide database of barbers and beauty-salon owners in the United States and need your help compiling it. Every record must be fully verified and include three data points: • Owner’s full name with current phone number and email address • Business name with complete street address (city, state, ZIP) • Key service specialties the shop promotes (e.g., fades, coloring, micro-blading, etc.) Accuracy is critical, so I will spot-check contact details and discard any duplicates or outdated entries. Please provide the finished list in a clean spreadsheet or CSV that I can filter and sort easily. If you already have a recent, reliable dataset, let me know; otherwise, outline how you’ll source and verify each contact before I award the p...

PROJECT OVERVIEW I am looking for a detail-oriented researcher to perform a competitive analysis of the Restoration & Mitigation industry (Water, Fire, and Environmental services) in specific geographic regions. SCOPE OF WORK 1) Target Identification: Identify active service providers/contractors currently utilizing Google Local Service Ads (LSAs) within our target markets. 2) Data Extraction: For each qualifying business, compile a clean spreadsheet including: A - Company Name, Physical Address, website if applicable B - Primary Office Line. C - Key Decision Maker (Owner/Principal): Identify the primary point of contact. D - Direct Contact Information: Provide verified Direct Dials or business contact lines for the identified decision-maker. Requiremen...

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...

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...

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...

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.