Data Projects

opportunity

25,000 individuals of Nigerian origin for IT careers

We are looking for an experienced data research and lead generation specialist to build a high-quality database of 25,000 individuals of Nigerian origin currently living in the USA who have publicly expressed an interest in transitioning into IT careers or have engaged with IT-related training, certifications, coding bootcamps, or career-change communities. Our target audience includes professionals from non-IT backgrounds such as: Nurses Uber/Lyft drivers Plumbers Caregivers Warehouse workers Truck drivers Security officers Retail workers Other blue-collar and service professionals seeking IT careers Requirements Ability to research and identify relevant individuals using publicly available and legally obtained information. Strong experience with lead generation and online research. Ability to verify and clean data. Deliver data in Excel or CSV format. Remove duplicates and invalid records. Desired Data Fields Full Name Email Address (where publicly available and legally collectible) LinkedIn Profile Current Occupation State/City Evidence of IT career interest (e.g., public LinkedIn activity, bootcamp participation, certification, public community membership, or similar publicly available indicators) Sample Requirement To demonstrate your research quality, please submit a sample of up to 100 records that follows the format above. The sample will be used solely to evaluate the quality of your work. We are not requesting 100 free records, and applicants who are selected will be paid for the full project. Deliverables 25,000 unique, verified records Excel or CSV format Accurate, well-organized, and deduplicated data Please include: Your experience with similar projects. Your proposed timeline. Your price for completing the project. A brief explanation of your research methodology. Only apply if you have experience with large-scale lead generation and data research using ethical and compliant methods.

Mobile Application Performance Monitoring Minder (Remote)

We seek reliable, detail-oriented individuals in Syria, Armenia, or Vanuatu for a long-term remote Mobile Application Performance Monitoring role. You will receive a company-owned Samsung smartphone, install and maintain five local prepaid SIM cards, ensure continuous power and mobile data connectivity, perform basic troubleshooting, and respond promptly to support requests. The company covers the device and reimburses approved data expenses. Applicants must be 18+, have a stable residence, reliable electricity, and follow verification steps to confirm local residency and SIM functionality.

MAKE PDF FILLABLE AND SIGNATURE AVAILABLE

Convert a static PDF into a fully interactive, fillable document with integrated electronic signature capability. Enhance form fields to allow users to enter names and other required data easily, ensure compatibility with common PDF readers, enable secure signature placement, and validate field types. Deliver a polished, user-friendly PDF optimized for both desktop and mobile workflows, with clear field tab order and professional formatting.

Pricing updates

Seeking a meticulous specialist to implement pricing updates within our building software. You will extract revised price lists from Excel, validate values, and accurately input them into the application while ensuring consistency and data integrity. Familiarity with Excel data manipulation, attention to detail, and experience with similar software interfaces are essential. Deliverables include updated pricing reflected in the system and confirmation of successful implementation.

Business Research Assistant

We're looking for a freelancer to conduct online research using publicly available sources and organize the findings into a clear spreadsheet. Responsibilities Research company information Organize findings in a spreadsheet Verify data accuracy Submit completed work on time We're looking for someone who can produce accurate, well-organized research and communicate effectively throughout the project.

Scrape 22 Sources – Approx. 110k Records

Scrape 22 Sources – Approx. 110k Records Please find attached the detailed scraping instructions for each source. The highlighted sections (yellow) identify the 22 data sources to be processed, with an estimated total of approximately 110k school records. DELIVERABLES For each highlighted source, create a separate folder containing: • One Excel (.xlsx) file with the extracted data. • The Excel should include, whenever available, at least the following columns: o School Name o Address o Email o Telephone If a source provides additional useful fields requested in the detailed instructions (e.g. postal code, school code, city, etc.), include them as extra columns. IMPORTANT • Follow the source-specific instructions in the attached document, as they take precedence over these general guidelines. • One output folder per highlighted source. • One Excel file per source. • Preserve all available records from each source. VALIDATION SAMPLE To demonstrate that you fully understood the task before the full assignment starts, please provide a sample Excel containing 5 records for each of the following sources: • Austria • Greece • Belgium – Wallonie WBE The sample should follow exactly the same structure and extraction rules that will be used for the final delivery. TIMELINE • Submit the validation sample as soon as possible. • I will be on holiday from 17 July to 30 July. Please ask any questions before 17 July, as I may not be available during that period. • The final delivery is required within 7 days of the project award. Please use the time before the assignment confirmation to review the instructions and prepare the validation sample. Once the work is assigned, the extraction can proceed without further clarification.

opportunity

I need a mobile app

Salespeople forget up to 80% of the detail from customer conversations within 48 hours. CRM notes are often incomplete because they are entered late or not at all. The app would capture the conversation immediately after it happens, use AI to structure it into sales intelligence, and export clean, actionable data into any CRM. 3 points - 1) Do not try and contact me through emails and Linked In. I will just block you. 2) I am based in the UK and priority will be given to UK freelancers 3) I put a price on the project for a reason. If you cant do the brief and supply me with an App or say it is going to cost more then please do not contact me. The budget is set

Requirement for Verified India Educational/Healthcare Database

Seeking a verified PAN-India database of educational and healthcare decision-makers covering colleges, universities, medical colleges, hospitals and healthcare institutions. Required contacts include Chairperson, CEO/COO, MD, Director, Dean, Principal, Vice Principal, HOD, HR Head, Professors, Placement and Administrative Officers. Each record must include institution name, contact name, designation, mobile, email, city, state, and website. Data must be recent, deduplicated, highly accurate, and verified. Provide total record count, state/city coverage, sample data, pricing, delivery timeline and verification methodology.

Create automated planning application spreadsheet

I am looking for someone to create an automated spreadsheet/report that pulls the previous week’s UK planning applications from the UK PlanIt data/API. The purpose of the report is to help identify potential trade opportunities for builders, loft conversion companies, kitchen/renovation firms, roofers and other home improvement trades. I need the spreadsheet to be refreshable each week, so I can update it with the latest planning applications and then export or share the data with ChatGPT for analysis. What I need is a spreadsheet system, ideally in Google Sheets or Excel, that can: 1. Pull planning application data from UK PlanIt. 2. Refresh the report weekly to show the previous 7 days of applications. 3. Cover all UK counties / planning areas, not just one local authority. 4. Handle multiple planning authorities within each county where needed. 5. Pull clean, structured data into a spreadsheet. 6. Allow me to filter by county, planning authority, date, application type and likely trade opportunity. 7. Create summary tabs that make the data easy to review. 8. Be simple enough for a non-technical user to refresh each week. **Important functionality required:** The spreadsheet should include: * A refresh button or clear refresh process. * A date range selector, ideally defaulting to the last 7 days. * County / area filtering. * Planning authority filtering. * Keyword filtering for relevant trade opportunities. * Automatic categorisation where possible, for example: * Extensions * Loft conversions * Garage conversions * Renovations/refurbishments * Kitchens * Roofing * Outbuildings * Commercial fit-outs * Other building works * A clean export tab that can be copied into ChatGPT for analysis. * Basic error handling if the API limit is reached or if a request fails. * A simple instruction tab explaining how I refresh and use the report. **Suggested spreadsheet tabs:** 1. **Instructions** Simple user guide explaining how to refresh the data and use the spreadsheet. 2. **Settings / Control Panel** Date range, counties/areas to include, keywords, refresh controls and any API settings. 3. **Raw Planning Applications** The unedited data pulled from PlanIt. 4. **Cleaned Applications** Clean version of the data with standardised columns. 5. **Trade Categorisation** Applications categorised by likely trade relevance. 6. **County Summary** Number of opportunities by county and trade type. 7. **Planning Authority Summary** Number of opportunities by local authority. 8. **ChatGPT Export** A clean tab designed specifically so I can copy/export the data and ask ChatGPT to analyse it. **Required data fields:** Where available from PlanIt, I would like the spreadsheet to include: * Application name/reference * Planning authority * County / area * Application start date * Address * Description * Application type * Development type * Status * Decision, if available * Applicant / agent details, if available * Link to planning application * Latitude / longitude, if available * Last scraped / last changed date * Suggested trade category * Opportunity score, if possible **Trade opportunity scoring:** Ideally, I would like a simple scoring system to highlight the best opportunities. For example: * High relevance: extension, loft conversion, conversion, major renovation * Medium relevance: alterations, outbuildings, roof works, garage conversion * Low relevance: tree works, signage, minor admin applications, discharge of conditions I am happy for the freelancer to suggest the best scoring approach. **Technical requirements:** The freelancer should be comfortable working with: * APIs * Google Sheets Apps Script and/or Excel Power Query * CSV/JSON data imports * Pagination * Rate limits * Data cleaning * Building refreshable dashboards/reports The PlanIt API has paging and request limits, so the system must be built responsibly and should not rely on one huge request. **End goal:** Each week I want to be able to refresh the spreadsheet, see the latest planning applications across all counties, identify the best trade opportunities, and then ask ChatGPT to analyse the data by county, trade type and opportunity quality. **Deliverables:** 1. A working Google Sheet or Excel workbook. 2. Automated or semi-automated weekly refresh process. 3. All required tabs and filters. 4. Clean data structure ready for ChatGPT analysis. 5. Simple instructions for use. 6. A short handover call or written walkthrough. 7. Notes on any limitations of the PlanIt API or recommended future improvements. **Please include in your response:** * Whether you recommend Google Sheets or Excel for this. * Examples of similar API/spreadsheet automation work. * How you would handle all counties and multiple planning authorities. * How you would manage API limits and pagination. * Estimated delivery time. * Fixed price quote.

opportunity

Full-Stack Developer for AI SEO & GEO Workflow Platform

We are looking for an experienced full-stack developer to help complete Tessy, an internal AI-powered platform for managing SEO and GEO client delivery. The frontend has already been built in Lovable and is being moved into Replit. We now need a developer to review the existing code, complete the application architecture and build the backend, database, integrations and production workflows. Core Phase 1 Features * Secure login and role-based access for admins, account managers, delivery staff and clients * Client onboarding and account setup * Separate but connected SEO and GEO workflows * AI-generated strategy drafts based on client data and templates * Automated “Critic” review before human approval * Inline editing and approval by account managers * Automatic generation of a rolling three-month task plan * Task assignment, statuses and review workflows * Client approval and delivery through Tessy * PDF or portal-based deliverables * Logging of publication dates and live URLs * Recording account manager edits as before-and-after data * Capturing performance results two and four weeks after publication Tessy should manage the delivery workflow from onboarding through to release and performance tracking. The detailed PRD and Lovable prototype will be provided. Developer Responsibilities * Review the Lovable and Replit codebase * Recommend a suitable production architecture * Build the backend and database * Connect the existing frontend to live data * Integrate AI APIs and structured outputs * Implement authentication and user permissions * Build the workflow, task and approval logic * Add file storage and PDF generation * Test, deploy and document the application We are open to recommendations on the final stack. Relevant experience may include React, TypeScript, Supabase, PostgreSQL, Node.js, OpenAI or Anthropic APIs, Lovable and Replit. When Applying Please include: * Examples of similar applications you have built * Your experience taking AI-generated prototypes into production * Your experience with Lovable and Replit * Your recommended technical approach * Your availability * An estimated timeline and budget * Any major risks or questions you would raise before starting Please begin your proposal with “Tessy” so we know you have read the brief. We prefer milestone-based delivery with regular demonstrations and access to the working code. NB: We have a PRD if requested and can provide access to loveable FE.

opportunity

Content Automation Dashboard for Existing Algorithm (BIG AL)

I'm looking for an experienced full-stack developer to build Stage 2 of my platform. I already have a working algorithm called Big AL that selects products for TikTok Lives and tracks analytics such as popularity, demand, sales history, conversion rates and live scheduling. I'm not looking to rebuild the algorithm. Instead, I need a developer to build a Content Engine and Approval Dashboard that reads Big AL's data and automatically generates branded social media content. The system should: Connect to an existing algorithm (API/Database/JSON) Read product selections and analytics Populate reusable templates automatically Generate graphics and short animated content Display everything in an approval dashboard Allow simple editing before export Export ready-to-use assets for TikTok, Instagram and my website This is intended to be the foundation of a larger content automation platform, so I'm looking for someone who enjoys designing scalable systems. A full project specification (PDF) is attached. Please include in your proposal: Similar projects you've completed Technologies you'd recommend Estimated timeline Estimated cost Suggestions for improving the architecture Long-term work is available for the right developer. "The existing algorithm developer is available for technical collaboration where required, so this project will involve integrating with an existing system rather than starting from scratch." - full design spec will be given to the right candidate. "How many hours do you think it would take to expose Big AL's data through an API or JSON feed so another application can consume it?" Please give a brief of your understanding, experience and how you would build it? If your interested please read the PDF and designs ideas.

opportunity

VBA Developer Needed to Reconcile Inventory

We are looking for an experienced VBA / Database Developer to help us resolve a technical misalignment in our inventory management system's go-live data. The system utilizes a FIFO engine where IngredientBatches controls batch availability, and a movement-led IngredientStock ledger calculates live stock based on receipt/consumption transactions. Currently, a gap in our opening balance setup has caused our live stock dashboard to display negative figures. The strategy and a core fix module (mod_OpeningStockReceipts.bas) have already been outlined. We need an expert to run diagnostics, align the columns, execute the fix safely, and ensure full system reconciliation without disrupting existing consumption history. Scope of Work Module Integration: Import and test a provided VBA module (mod_OpeningStockReceipts.bas) designed to generate missing opening receipt entries in the movement ledger from existing batch data. Column & Data Alignment: Run data validation checks (via a provided macro) to identify and correct misaligned data columns (specifically Status and RemainingQty in the IngredientBatches table). Data Reconciliation: Ensure that: IngredientStock reconciles perfectly with positive opening balances. FIFO batches remain completely unchanged. Existing ConsumptionLedger records stay intact. No duplicate stock movements are created. System Validation: Rebuild and validate the live stock dashboard formulas to ensure future "End of Day" automated runs function reliably. Thank you

10 verified Darlington people seeking cleaning quotes

Seeking 10 verified Darlington residents actively requesting house-cleaning quotes. Provide for each lead: full name, contact details, area, and source link. Leads must be genuine private individuals (no businesses or fabricated data). Fixed price £40 total, payable only after client approves the verified list. Deadline: 3 days. High integrity, accuracy, and verifiable sourcing essential. Successful delivery may lead to regular ongoing assignments.

opportunity

Azure Migration Specialist - Full details in attachment.

## Azure specialist to deliver a UK-sovereign production migration (Container Apps · PostgreSQL Flexible Server · Azure OpenAI) The project We run a multi-tenant ready single-tenant B2B SaaS platform (project delivery / PMO software) used in production by enterprise customers. The stack is a TypeScript modular monolith — Fastify API, React SPA, PostgreSQL 17 — currently hosted on Supabase Cloud, Fly.io, and Vercel. An enterprise customer requires **UK sovereign data hosting**, and we are migrating the platform onto Azure in the UK, with sovereignty technically enforced (region-locked policy, private networking, customer-managed keys) rather than promised on paper. **The design work is done.** You will not be starting from a blank page: there is a complete, independently reviewed document set — a High-Level Design, a code-verified Low-Level Design, and a step-by-step migration plan with exit gates, a cutover runbook, and a rollback model. Your job is to **execute and manage the Azure side of that plan**, challenge it where your experience says it's wrong, and get production cut over safely. ### The target architecture (summary) - **Compute**: Azure Container Apps, internal-only environment in a VNet, four containerised services plus a one-off migration Job; Application Gateway WAF_v2 as the single public entry. - **Data**: Azure Database for PostgreSQL Flexible Server (PG17), PITR, customer-managed keys, geo-redundant backup to a second UK region; Blob Storage with user-delegation SAS. - **Identity & secrets**: managed identities end-to-end (goal: no static credentials anywhere in production), Key Vault, GitHub Actions OIDC federation for CI/CD. - **AI**: Azure OpenAI, UK South, regional Standard deployments only (data residency enforced by policy). - **Email**: Azure Communication Services (SMTP relay). - **Observability**: Azure Monitor / Log Analytics with an alerting path into our existing external paging service; always-on audit baseline (Activity Log, Azure Policy, Defender for Cloud). - **Auth**: the platform's existing open-source auth server (Supabase GoTrue) is re-hosted as a container — sessions and passwords survive the migration by design. You don't need prior GoTrue experience, but you do need to be comfortable running a third-party container against Postgres. Full details in attachment

Pilot Program Agreement — Singapore EdTech

Client: U.S.-based developer of children's social-emotional learning (SEL) products Project: Beta pilot testing with Montessori schools and after-school programs in Singapore Documents to produce: 2 final, execution-ready instruments Deliverables Table # Deliverable Specification 1 Pilot Participation Agreement Singapore law governing; SIAC arbitration clause; PDPA 2012 compliance for children's data; GST treatment for non-registered supplier; IP ownership and feedback assignment; "AS-IS" beta disclaimer with liability cap; 3 pages maximum 2 Parental Consent Form PDPA 2012 compliant; clear data collection purpose and scope; controller/processor identification; voluntary participation with withdrawal right; data subject rights (access, correction, deletion); cross-border transfer disclosure (U.S. servers); 30-day retention and destruction method; contact for inquiries; parent/guardian signature block; 1 page maximum, plain language for non-lawyer parents Timeline Propose your own — include estimated drafting days and revision rounds in your response. What We Provide Product description and pilot structure (4-week, capped participants, SGD fee, remote training, automated telemetry) Data categories collected (first name/pseudonym, age bracket, session interaction logs, card linger time, aggregated behavioural telemetry) Confirmation: no photographs, full names, government ID, or medical data collected U.S. server location for digital processing Target markets: Montessori institutions and private after-school enrichment centers What We Expect From You Called to the Singapore Bar Demonstrated experience with PDPA 2012 and technology/service agreements Fixed-fee proposal or hourly rate with not-to-exceed estimate Proposed timeline from engagement to final delivery One round of revisions included in quote (additional changes billed separately or re-quoted) Selection Process Proposals accepted on rolling basis Decision based on: relevant experience, clarity of proposal, timeline fit, fee reasonableness fit and demonstrated expertise weighted heavily Submit: Fee proposal, timeline, and 2 relevant matter examples.

Machine Learning Research Proposal Specialist

Overview We are looking for a Machine Learning Research Proposal Specialist to create a polished, professional research-style write-up for an ML evaluation task. The submission should propose a machine learning problem within the writer’s domain of expertise and must be directly related to machine learning. The final deliverable should be written in markdown format, follow the provided template exactly, and be no longer than 1–2 pages with a maximum of 8 paragraphs. Project Goal The goal of this project is to design a machine learning benchmark or problem that is complex enough to challenge a strong state-of-the-art LLM. The problem should not be a simple generic ML pipeline task. It should require deep domain expertise, advanced reasoning, and layered technical understanding that would be difficult for a general-purpose model to solve without specialized knowledge. Responsibilities The selected specialist will write a complete research proposal-style submission using the required sections: Domain and Motivation, Task Design, Data and Data Generation, Sources of Difficulty, Reference Solution and Scoring, and Citations. Each section should be concise, polished, and limited to one paragraph. The proposal should clearly explain the ML domain, why the task is meaningful, what is being predicted, how the data would be generated or adapted, why the task requires extrapolation, and why naive approaches would fail. Ideal Candidate The ideal candidate has strong experience in machine learning, applied AI, data science, or ML research, with expertise in at least one technical or scientific domain such as healthcare, finance, robotics, cybersecurity, biology, materials science, geospatial analysis, NLP, computer vision, or another complex field. They should be able to design a creative ML task that rewards real domain knowledge rather than basic textbook ML skills. Required Skills Strong understanding of machine learning problem formulation, benchmark design, data generation strategies, train/test split methodology, model evaluation, and scoring metrics is required. The candidate should also be comfortable explaining why a task is difficult, what domain-specific insights are needed, and how an expert would approach solving the problem. Clear technical writing and the ability to produce concise markdown-formatted documentation are essential. Deliverable The final deliverable will be a markdown-formatted research proposal following the provided template. It should be professional, concise, and no more than 8 paragraphs total. The proposal must involve machine learning directly and should include citations where applicable, such as relevant research papers, datasets, GitHub repositories, or other credible references that support the proposed task. Important Notes This is a machine learning evaluation project, so proposals that are not directly related to ML will not be accepted. The model output should be ignored during the evaluation process, and once the prompt has been entered and the model generates a response, the evaluator should select “Done Chatting.”

AI-Powered SaaS App Children's Home Full-Stack Developer Needed

I'm building a web-based AI assistant for children's homes in the UK. Staff will be able to ask compliance and policy questions and receive instant, cited answers from their organisation's own documents. I have a detailed brief ready and am looking for an experienced developer to build a working prototype. The build includes: Secure multi-tenant web app (each organisation's data fully isolated) AI chat interface using the Claude API (Anthropic) Document upload and management for admins User authentication with staff and admin roles Basic audit logging I'm looking for someone who: Has built SaaS or multi-tenant web apps before Is comfortable integrating LLM/AI APIs Is UK-based or EU timezone Will sign an NDA before full brief is shared Can deliver a working prototype within 6–8 weeks

PowerBi Project

Seeking an experienced Power BI developer to implement a series of reports sourced via API from a MySQL database. We are a membership organisation using Paid Memberships Pro since October 2025; customer data is available and report layouts are designed on paper. Tasks: review data model, create optimized datasets, build interactive Power BI reports, and validate against designs. Project kickoff in the next weeks with completion by end of July. Opportunity for ongoing occasional support across other Power BI datasets.

App based KPI Dashboard

Hi I am developing a company KPI scorecard for our property investment company and we are currently inputting data into an excel spreadsheet and I am hoping this can then be developed into a dashboard for board meetings. My intial though is to use Microsoft Power Apps as we are on MS 365 / Teams etc. Hoping someone can help Thanks

Jobone.in SEO Sitemap Audit

Comprehensive SEO and sitemap audit for Jobone.in: perform a full site crawl, verify indexing and internal linking, assess page speed and structured data, and validate XML/HTML sitemaps. Identify issues—duplicate URLs, orphan pages, canonical errors, missing meta tags, broken redirects—and explain their impact in plain language. Provide concise keyword research with realistic target terms and required on-page changes. Deliver a diagnostic report with evidence and severity, a prioritized action plan, a validated XML sitemap ready for Search Console, and an annotated keyword list with volumes and intent. Tools like Screaming Frog, Ahrefs and Search Console should be incorporated where useful; recommendations must be clear and implementable.