Data Entry Singapore Projects

Repairs and Monitoring system

I require a designer to develop a simple, user-friendly Repairs and Monitoring system to manage walkabouts, repairs and health & safety issues across five accommodation schemes. Existing Excel spreadsheets define required data; the task is to integrate these into a cohesive solution—link sheets, create dropdowns, automate data population, implement tracking and status updates, and produce clear reports. The system must accommodate staff with limited computer skills, be reliable, and easy to maintain.

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Tenancy issues

i have a full built rear garden office (wif, heating, for 2 people) but my DIY guy on visiting to ensure all the exterior of the house was ok noted that the office door was no longer opening and rain could enter damage the flooring etc. Tenant says: ''These are weather effects or age related wear and nothing not caused by us so the responsibility of fixing and paying should not be on you'' He also got my diy guy to fix a sticking door in the house. Bill £250 i feel he should be paying not me as landlord my view is that it is his responsibility to look after the house and DIY guy says they have probably not been using or entering the office for maybe some time hence the damage. I do have a lease agreement that generally says keep house in good condition as at entry date. So hope you can assist and decide in my favour!! Let me know your costs and timelines.

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AI Monitoring Platform for UK Company Alerts

Project Title: AI Monitoring Platform for UK Company Financial Distress & Insolvency Alerts (SIC-Based) Project Overview: I’m looking for an experienced developer (or small team) to build an AI-powered monitoring platform or intelligent agent that tracks UK companies within pre-defined SIC codes and automatically alerts me when there are signs of financial distress or insolvency. The system should continuously monitor company data, detect risk signals, and provide both real-time alerts and structured reporting. Core Objective: To proactively identify companies within selected industries that are: Experiencing financial decline (e.g. credit score drop) Entering insolvency processes (e.g. notice of intent to appoint administrators) Showing early warning signs of distress Key Functional Requirements: 1. Company Data Collection The platform must: Pull and maintain a live database of UK companies filtered by selected SIC codes Sources should include: Companies House API Commercial data providers such as Creditsafe, Experian, Dun & Bradstreet (or similar via API) 2. Data Monitoring (Automated & Ongoing) The system should periodically (daily or weekly) re-check and update the following: Credit score (via commercial providers) Filing timeliness (overdue accounts, confirmation statements, etc.) Insolvency indicators: Notice of Intent to Appoint Administrators Administration Liquidation CVAs Director changes: Appointments Resignations 3. Financial Data Enrichment (Important) Where available, the platform should also pull and display from latest filed accounts: Turnover / Revenue Balance sheet data (e.g. total assets, liabilities, net assets) This can be sourced from: Companies House filings (accounts data) Or via commercial data providers if more structured/standardised 4. Alert Triggers The platform must generate alerts when: A company’s credit score drops by 5% or more Include the exact percentage drop in the alert Any insolvency-related event is detected, including: Notice of Intent for Administration Administration Liquidation 5. Alert Delivery Alerts should be sent via: Email (minimum requirement) Ideally also: Slack / Microsoft Teams Web dashboard notifications 6. Reporting (Key Requirement) The system must automatically generate and send: Daily report Weekly report Monthly report Each report should be delivered as a spreadsheet (Excel or Google Sheets) and include: Columns to include (minimum): Company Name Company Number SIC Code Date of event/activity Type of event (e.g. credit score drop, insolvency notice, director change) Previous credit score New credit score % change in credit score Filing status (on time / overdue) Insolvency status Director changes (summary) Turnover (latest available) Key balance sheet figures (assets, liabilities, net position) Reports should clearly show date-stamped activity and allow filtering/sorting. 7. Dashboard / Interface (Preferred) A simple dashboard to: View and filter companies by SIC code Track alerts and risk levels View historical changes and trends Export data 8. AI / Intelligence Layer (Optional but Preferred) Identify early warning signals before insolvency Highlight patterns (e.g. repeated late filings + score decline) Rank companies by risk level or likelihood of distress Technical Requirements: Experience integrating APIs (Companies House + credit agencies) Ability to build automated data polling (scheduled jobs) Cloud-based database and infrastructure Alerting and reporting automation Scalable architecture Data Sources (Must Be Used): Companies House API (free, primary source) Commercial credit data providers such as: Creditsafe Experian Business Dun & Bradstreet Please advise on: Best provider(s) to use API access requirements Ongoing data/licensing costs Deliverables: Fully functioning monitoring and alert system Automated reporting (daily, weekly, monthly) Spreadsheet output format Documentation and user guidance Ability to adjust SIC codes and thresholds Optional ongoing support Nice to Have: CRM integration (e.g. Zoho) Webhooks for automation Customisable reporting Data visualisation Budget & Timeline: Open to proposals – please include: Estimated cost Timeline Recommended tech stack Relevant experience / similar projects

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Simplifying our Master pricelist

We require an expert to streamline our Master pricelist spreadsheet. The workbook contains extensive data, numerous VLOOKUP operations, and synchronization with our Sage database via the "Sage Data" sheet. Despite a reduced upload copy, the file remains sluggish—taking over a minute to open and delay when saving/closing. Deliverables: optimize formulas, restructure for performance, implement efficient lookup/indexing strategies or Power Query/SQL alternatives, and provide a lean, responsive workbook with documented changes and recommendations.

On-going freelance PR admin

The role is providing admin support in a small, busy PR agency. As well as adhoc admin you will do the following; - creating monthly press cuttings and media coverage reports in powerpoint for clients - compiling client invoices for sample send outs every 3 months - updating the Eviva website from time to time - making travel arrangements and creating itinerary documents for press trips - assisting with sample drops to press - helping with event organisation by sending out mailshots via mailchimp, compiling registration lists, name badges and other event materials - Updating and adding contacts to our press list and trade database which will involve data entry, online research and emailing You will need to have excellent communication skills (including spoken and written English), a personable and professional email and phone manner, a high level of attention to detail, efficiency, accuracy and organisation, a willingness to learn and be able to quickly grasp new activities and work independently, be flexible, reliable and comfortable in a busy environment and be able to turn things around quickly and work to a deadline when required. Experience of working in PR and comms and knowledge of the media would be useful but not essential as this is a junior admin role You will need to have excellent knowledge of Microsoft Office and social media including Instagram and tik tok, and be familiar with mail chimp, word press websites and canva. I am looking for ongoing support so please only get in touch if you are available and looking for ongoing freelance work. The amount of work will vary each week but on average will be about 2 days/week spread over the week.

Sales Admin Staff for CRM Systems

2 people who have experience of working through any system preferably a CRM system to: Check Sales Leads are automated via CRM system. Follow up those that are not Ensure to re-target any with invalid or no response or error messages Follow up directly with those who have not booked Cleanup Data and ensure each next month is optimized to achieve maximum conversions.

Xero project move

Require an experienced Xero specialist to manage a seamless migration between Xero organizations. Project involves transferring three companies, ensuring accurate migration of charts of accounts, historical transactions, bank reconciliations, payroll data, invoices, and attachments. Successful candidate must demonstrate prior Xero-to-Xero migration experience, meticulous attention to detail, strong reconciliation skills, and ability to validate data integrity post-migration. Deliverables include documented migration plan, completed transfers, reconciliation reports, and resolution of discrepancies.

opportunitypre-fundedurgent

Shopify Web Designer / Developer Needed (UI/UX + Features)

We want to make clear our budget is not up for negotiation at this time. Our Project consist of taking current template and building a new one modified or a new updated theme. Current setup is outline here. We use Flxpoint which has been mapped correctly. 98% of all the data is taken care of already. All data point for the descriptions and mapping are controlled from Flxpoint. - The part that must be done here is all that information needs to lay out in a expert organize design for each product page and all others styles. Focus of the project is the building, structuring and design of the site whatever else required. Scope of Work 1. UI/UX Design & Frontend Development Architect and implement a high-performance, conversion-optimized user experience Design scalable navigation and taxonomy for: 30,000–65,000 products 150,000+ images and product assets Develop or heavily customize a Shopify theme with: Mobile-first, responsive design Optimized product discovery (search, filters, categories) Clean, modern UI aligned with adult retail standards Ensure accessibility, usability, and intuitive customer flows 2. Backend Architecture & Data Integration Integrate with an existing data warehouse (pre-mapped product data) Implement real-time or near real-time data syncing for: Product feeds Inventory updates (drop-shipping model) Pricing and availability Ensure robust data mapping and normalization between source feeds and Shopify 3. App & API Integrations Configure and integrate third-party systems including: Payment gateways Inventory and order management systems Google services (Analytics, Tag Manager, Shopping feeds) AI assistant / automation tools Develop custom middleware or private apps where required 4. Performance Optimization Optimize for: Page speed (Core Web Vitals) High-volume image delivery (CDN, lazy loading, compression) Efficient Liquid rendering and API calls Streamline checkout experience to maximize conversion rates Implement advanced caching and performance strategies 5. Project Management & Delivery Provide structured project governance: Defined milestones and timelines Regular stakeholder communication Agile or sprint-based delivery model Conduct: QA testing (functional, regression, performance) UAT support prior to launch 6. Maintenance & Ongoing Support Post-launch support including: Debugging and issue resolution Feature enhancements Platform updates and optimization Required Team Composition We will only engage with teams or agencies capable of covering all functional areas: Shopify Developer(s) Expertise in Liquid, custom theme development, and backend logic UI/UX Designer Proven experience designing high-SKU e-commerce experiences Project Manager Responsible for delivery, communication, and scope management Technical Requirements Shopify / Shopify Plus experience (strongly preferred) Proficiency in: Shopify Liquid HTML5 / CSS3 JavaScript (React, jQuery or similar frameworks) API integrations Git/version control Experience handling: Large-scale product catalogs High-volume image optimization Drop-shipping workflows Vendor Qualification Criteria We are not evaluating based on public URLs alone. All applicants must provide: Verifiable, real project evidence, including: Code samples (where permissible) Architecture breakdowns Before/after performance metrics Detailed case studies of past builds Demonstrated experience delivering complex, high-scale e-commerce platforms Key Success Factors Scalable architecture capable of handling large datasets Clean, intuitive UX that drives conversion Reliable integration with live product feeds Strong communication and structured execution Ability to deliver a production-ready platform end-to-end

Design and create ONE page

Seeking a skilled web designer/developer to craft a single, fully realized service page with associated location entry for my website. Deliverables: original, SEO-aware content; polished responsive layout consistent with site aesthetics; optimized images and meta tags; clear calls-to-action and structured service details (features, benefits, pricing/FAQ). Must ensure accessibility, fast load performance, and cross-browser compatibility.

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Teams dashboard

Develop a Teams dashboard that aggregates machine fault reports from multiple Teams channels and visualizes them like an airport flight schedule board in red. The system will parse chat entries from GC1–GC7, link each fault to the responsible site engineer, record occurrence frequency, and highlight recurrent faults. It will present consolidated metrics and individual site details on the Service Engineers dashboard, enabling rapid identification, trend analysis, and prioritization of repairs.

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Extract blood test data from PDF documents that have been OCR'd

The objective is to build a structured blood test database that allows pathology results to be viewed, edited, filtered, and exported to Excel via a web-based HTML interface. The system stores results in a clean, standardised format so trends can be analysed accurately over time. Using AI-assisted OCR, I have built a local Python extraction pipeline that converts PDF pathology reports into machine-readable text and inserts structured data into a SQLite database. The majority of blood tests extract correctly, including canonical test name, result value, unit, and reference range. However, I have reached a specific technical issue with three markers: • CRP (C-reactive protein) • ESR • GLU (Glucose) The OCR output clearly contains the correct lines, and debug logs confirm they are processed. Yet no rows are inserted for these markers. The failure appears to occur between canonical matching, numeric extraction, or validation logic. Current System Architecture The system runs locally and consists of: • extraction_core_2.py (main engine) • Supporting modules for OCR preprocessing, lab dictionary building, regex matching, and validation • SQLite backend • Schema-driven canonical lab dictionary • Controlled fuzzy fallback logic • HTML viewer for results display and Excel export Pipeline flow: Convert PDF to image (pdf2image) Preprocess Run Tesseract OCR Clean and normalise text Match against canonical lab dictionary Extract: canonical test name numeric result unit reference range Validate Insert into SQLite The engine is deterministic and rule-based. The Specific Problem Example OCR line: CRP H 5.2 mg/L 0-5 OCR text is correct. NUMBER_PATTERN matches. The canonical dictionary contains the test. Yet: Inserted 0 rows from 0126251OrderReport_23B00006604_CRP.pdf Likely failure points include: • Canonical containment match failing due to normalisation • Flag tokens (“H”, “L”) interfering with numeric capture • Numeric extraction anchored incorrectly • Validation rejecting due to strict range formatting • Unit pattern mismatch (e.g. mmol/L) • Dictionary indexing issue • Match overridden by another lab name • Guard conditions too strict If validation fails, the row is rejected silently. All other panels extract correctly. The issue appears isolated. What Is Required This is not a rebuild. We do not want: • Re-architecture • Experimental AI guessing logic • Large-scale changes • Expanded fuzzy matching We need: 1. Precise Diagnosis Identify exactly where CRP, ESR, and GLU are failing insertion and which rule is causing rejection. 2. Minimal Safe Fix Implement a targeted correction that: • Adjusts canonical matching if required • Anchors numeric extraction correctly • Allows flag tokens without blocking capture • Relaxes only necessary validation checks • Preserves deterministic behaviour 3. Zero Regression • No impact to currently working panels • No performance degradation • No uncontrolled fuzzy expansion 4. Modular Implementation If appropriate: • Implement as small isolated module or • Cleanly adjust matching block The existing architecture should remain intact. Constraints The system is designed to be: • Deterministic • Schema-driven • Reproducible • Forensic-grade We cannot introduce probabilistic or unpredictable behaviour. Longer-Term Goal After stabilising extraction: • Migrate to web deployment • Enable structured uploads • Add trend analysis • Later incorporate AI-assisted interpretation Immediate priority: Stabilise deterministic extraction for CRP, ESR, and GLU without breaking the existing engine. Materials Provided Uploaded: • Full extraction_core_2.py (text format) • Screenshot of HTML viewer • Sample PDF files • Export showing required output Additional materials available on request: • Sample OCR blocks • Canonical dictionary entries • Regex patterns • Validation logic • Database schema • Debug logs This is a focused debugging and refinement request. I have spent many hours attempting to isolate the issue and now require an experienced developer to identify the blocking condition and implement a practical fix. I have been advised this should take 1–2 hours for a senior developer. Looking for a swift turnaround.

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

urgent

AI Marketing Implementation Specialist Thailand & UK Business

WHO WE ARE Peyton & Charmed Group is a multi-brand business operating between Thailand and the UK across 5 business units: - UK Student Accommodation (peytonandcharmedaccomm.co.uk) - UK Property Investment — integrated with Accommodation - Koh Chang Travel & Tours (kohchangthailandtours.com) - Private Land Transfers — currently Koh Chang to Bangkok route, growing nationwide - Bangkok City Stays (peytonandcharmedbkk.com) IMPORTANT — THIS IS NOT A SOCIAL MEDIA SETUP PROJECT We already have Facebook, Instagram and TikTok running across all business units. We do not need accounts created or basic profile work. We need an AI marketing implementation specialist to come in, build AI tools and workflows on top of what we already have, and hand everything over so our in-house team can run it themselves. WHAT YOU WILL IMPLEMENT - Audit our existing channels and identify gaps and opportunities - AI-powered content workflow — our team films, AI does the editing and posting - LLM-powered chatbots on Instagram, Facebook, LINE OA and WhatsApp — must understand natural language in English and Thai, not basic keyword bots - Scheduling and auto-posting across all platforms - Analytics dashboard so we can track what is working - Brand kit and video templates per business unit - Content calendar system our team fills in weekly - Filming guide per business unit for our team TRANSFERS NOTE Transfers currently runs as one route — Koh Chang to Bangkok — promoted through our Koh Chang channels. Phase 1 is to cross-promote this within Koh Chang content. A standalone Transfers setup is a future phase and not in scope for this project. TOOLS We are not fixed on specific tools. Recommend whatever AI tools you believe will work best for us and include the costs in your proposal. We own CapCut Pro and want it included where possible. TIMELINE — URGENT We need this completed within 2 weeks from start. Freelancers who can deliver faster will be given priority. WHEN APPLYING PLEASE INCLUDE - Examples of AI marketing systems you have implemented — not just social media management - Examples of LLM chatbots you have configured - Your recommended toolset with costs - Your fixed project rate - Your fastest realistic completion time We are two audiences — Thai families going to the UK, and international tourists coming to Thailand. Bilingual English and Thai strongly preferred. Need a quotation and road map - the follow a must DATA ANALYSIS & CUSTOMER PERSONA REPORTS This is a core requirement of the project, not an optional extra. We need the freelancer to conduct full data analysis across all our existing social media channels and customer data for each of our 5 business units. From this data analysis you must produce detailed customer persona reports that identify exactly who our customers are, what drives them to buy, what stops them buying, and how we can upsell and cross-sell our services across all business units. Data analysis deliverables required: - Full data analysis of existing social channels, audience insights and engagement patterns per BU - Customer persona report per BU based on data analysis findings - Buying trigger report — what motivates each customer type to purchase - Upsell and cross-sell opportunity map across all 5 BUs - Customer journey map per BU showing where we are losing potential customers - Ongoing data analysis system so our team can track and update this over time All data analysis and persona reports must be delivered by Day 3-5 of the project as they drive everything else — content, chatbots, strategy and messaging. Content without data analysis is just guesswork. When applying please include examples of data analysis reports and customer persona work you have completed for other businesses.

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AI OPERATIONS EXPERT

I need an AI operations expert to streamline marketing and operations across Amazon, Etsy, TikTok Shop, website, eBay, Facebook and Instagram. Clone and redeploy unified marketing assets, design automated funnels to convert social followers using chatbots and dynamic offers, monitor and optimize the AI stack (data pipelines, prompt tuning, insights), ensure brand-review compliance, enable end-to-end attribution, deliver dashboards and weekly reports, and document SOPs for junior staff.

Freelance Sales Support Assistant

I'm looking for an experienced Freelance Sales Support Assistant to support the sales team with research, data management, and coordination. What you'll do: • Research and identify potential prospects and key decision-makers • Qualify contacts and ensure they align with the Ideal Customer Profile • Manage and organise follow-up sequences to maintain engagement • Support the sales team with reporting and administrative tasks If you're organised, detail-oriented, and experienced in sales support, send me a proposal!

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Sales Dashboard for 6–8 Sales Reps with Comm Forecast, Analytics

I am looking for a freelancer to build a visual and user-friendly sales dashboard for a team of 6 to 8 sales representatives. The goal is to create an informative dashboard that allows each salesperson to access their own interface and analyze their performance in a clear and practical way. The dashboard should include, at minimum, the following features: • Individual view for each salesperson • Filtering and analysis by month, year, and fiscal year • Fiscal year comparison based on an accounting period from July to June • Year-over-year comparison • Top clients • Top clients by client type • Top-selling products • Department-based organization and reporting • Ability to select a client and view all related orders • Estimated next commission calculation based on formulas already defined • Clear visual presentation with charts and graphs • Maximum readability and usefulness for business decision-making Important notes: • I already have the commission calculation rules and logic • My current data and calculations are managed in Google Sheets, including scripts • I need a freelancer who can either build directly from Google Sheets data or propose the best tech stack compatible with it • The final solution must be reliable, easy to use, and easy to update What I expect from your proposal: • Your recommended technology stack for this project • Whether you would build it directly from Google Sheets, Google Apps Script, Looker Studio, Power BI, or another solution • The estimated delivery timeline • The main project phases • Examples of similar dashboards you have already built • How you would structure user access if each salesperson needs their own view

Virtual Assistant (Admin & Reporting)

Job Title: Virtual Assistant (Admin & Reporting) Location: Remote Type: Ongoing / Part-Time (PeoplePerHour) Overview We are looking for a reliable and detail-oriented Virtual Assistant to support our business with weekly reporting and general administrative tasks. This is a consistent, long-term role suited to someone who is organised, efficient, and able to work independently. Key Responsibilities Compile and produce weekly reports using provided data Gather information from multiple sources and present it clearly Carry out general, non-specific administrative tasks as required Maintain accurate records and documentation Support the wider team with ad hoc tasks Requirements Strong attention to detail and accuracy Experience creating reports (Google Sheets, Excel or similar) Ability to organise and present data in a clear, structured format Good written English Reliable, proactive, and able to work without close supervision Comfortable handling repetitive and varied admin tasks What We’re Looking For Highly organised and methodical Fast and efficient with admin work Able to follow instructions and also think independently Consistent and dependable How to Apply Please include: Examples of reports you have created (if available) Your experience with admin and data handling Your availability (hours per week) Tools/software you are comfortable using This role is ongoing and will suit someone looking for stable, repeat work with clear expectations.

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I need a pro to provide me lead

I need a freelancer to collect 22 valid UK email receipts in .eml format. Requirements: UK-based receipts (last 2 years) Correct .eml format Complete and accurate metadata Follow category guidelines (shared after hire) All personal data must be removed/anonymized Important: Only accurate and verifiable receipts will be accepted. Deadline: 24 hours after acceptance Before i accept the offer you will have to provide 3 lead Read carefully

opportunityurgent

Product Data Mapping Specialist Needed for 250,000 SKU EPOS File

Job Description: We are looking for a detail-oriented freelancer to support a structured data-mapping project for a large EPOS export containing approximately 250,000 products. Each product includes core fields such as SKU, description, brand, size, and other attributes. Your role is not to create new category structures, but to map each product accurately and consistently into a predefined hierarchy and tagging framework. This work is highly important as the mapped data will be used for reporting, analytics, and future automation, so accuracy, logic, and consistency are essential. Scope of Work Each product must be assigned to a fixed 3-level category hierarchy: Department (Level 1) Sub-Department (Level 2) Analysis Code (Level 3) Example: Department: ART Sub-Department: PAINT Analysis Code: WATERCOLOUR This means all watercolour paints would be mapped to: ART → PAINT → WATERCOLOUR We will provide: The approved list of Departments The approved Sub-Departments for each Department The approved Analysis Codes for each Sub-Department You must not create new categories, rename existing ones, or deviate from the supplied structure without approval. Existing Top-Level Departments Examples include: ART CRAFT STATIONERY JIGSAWS LEGO Additional departments will be included in the master file. Tagging Requirements In addition to category mapping, products must also be assigned tags in separate columns. Required tag groups include: Brand (for example: Winsor & Newton, Faber-Castell, LEGO) Size / Volume (for example: 12ml, A4, 500g, Pack of 10) Other clearly identifiable and consistently reusable attributes where appropriate Tags must be: Clean Standardised Reusable Free from unnecessary variations Mapping Rules Use the product name, description, brand, and available attributes to determine placement Similar products must always be mapped consistently If a product is unclear or ambiguous, flag it instead of guessing Do not make assumptions without a logical basis Output Required The final Excel output should include at minimum: Original SKU / Product ID Department Sub-Department Analysis Code Brand Tag Size Tag Notes / Flags (if applicable) Important Requirements No blank category fields unless clearly flagged No free-text category creation Strict adherence to the supplied structures Strong attention to detail and consistency throughout Validation Process Before full rollout, we would like the selected freelancer to complete a small sample batch for validation. We will review this first to ensure alignment before the full file is processed. Ideal Freelancer We are looking for someone with: Strong Excel skills Excellent attention to detail Experience with large product catalogues, categorisation, or data cleansing A logical and methodical approach to classification work If anything in the structure or logic is unclear, we would expect questions to be raised early. It is more important that this is done correctly than quickly. Please include relevant experience when applying, especially any examples of product mapping, taxonomy work, catalogue clean-up, or structured data classification.