Data Entry Pakistan Projects

CRM Data Cleanup Support

We're seeking a freelancer to help organize and clean customer records. The work includes reviewing entries, removing duplicates, correcting formatting, and updating information as instructed. Responsibilities Review customer records Remove duplicate entries Correct data formatting Update information where required If you have strong attention to detail and can deliver accurate work, we'd be happy to hear from you.

Product Catalog Spreadsheet Data Cleansing Description

Looking for a meticulous data entry freelancer to clean and format an existing product catalog spreadsheet for an internal review. All data is fully provided; no external sourcing or account creation is required. Responsibilities Organize product descriptions into correct columns. Clean up formatting and align pricing fields. Identify and remove duplicate rows. A Note for Applicants If you are detail-oriented and enjoy turning messy data into a structured spreadsheet, please send through your proposal. Looking forward to your applications!

Digital Catalog Text & Price Formatting

Looking for a detail-oriented freelancer to structure and check existing catalog text for consistency. All source material is completely ready to hand over; no external sourcing or third-party platform tasks are involved. Responsibilities Align product descriptions with the correct fields. Correct inconsistent text formatting and cross-check pricing. Remove repeated entries to clean up the master file. A Note for Applicants If you enjoy making data and content highly organized, please send through your proposal. We look forward to working with you!

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Data needed for care homes

im looking for Data of all Nursing Home,Care homes, Supported living locations and any other Care settings in this sector, with client name, address, email addresses and Registered manager. current and in date.

Build webscraper to collect data from outlet menus

I have a list of appr. 50.000 outlets, of which I want to have the menu information scraped cleansed and organised (see FACT DIM below). Assignment is to receive a working and tested code for doing that, perphaps for a smal sample of 100 outlets or so to see that it's working. Lump sum proposal please, needs to be ready asap. Best regards, Sander -------------- CREATE TABLE public.outlet ( outlet_id bigint GENERATED ALWAYS AS IDENTITY NOT NULL, naam text NOT NULL, plaats text, website_url text, segment text, status text NOT NULL DEFAULT 'actief'::text CHECK (status = ANY (ARRAY['actief'::text, 'inactief'::text])), created_at timestamp with time zone NOT NULL DEFAULT now(), updated_at timestamp with time zone NOT NULL DEFAULT now(), CONSTRAINT outlet_pkey PRIMARY KEY (outlet_id) ); CREATE TABLE public.menu_source ( source_id bigint GENERATED ALWAYS AS IDENTITY NOT NULL, outlet_id bigint NOT NULL, pagina_type text, url text NOT NULL, domain text, bestandstype text CHECK (bestandstype = ANY (ARRAY['html'::text, 'pdf'::text, 'image'::text])), confidence real, is_active boolean NOT NULL DEFAULT true, created_at timestamp with time zone NOT NULL DEFAULT now(), CONSTRAINT menu_source_pkey PRIMARY KEY (source_id), CONSTRAINT menu_source_outlet_id_fkey FOREIGN KEY (outlet_id) REFERENCES public.outlet(outlet_id) ); CREATE TABLE public.crawl_run ( run_id bigint GENERATED ALWAYS AS IDENTITY NOT NULL, source_id bigint NOT NULL, crawled_at timestamp with time zone NOT NULL DEFAULT now(), http_status integer, etag text, last_modified text, sha256 text, parse_status text NOT NULL DEFAULT 'pending'::text CHECK (parse_status = ANY (ARRAY['pending'::text, 'ok'::text, 'partial'::text, 'failed'::text, 'not_modified'::text])), parser_version text, raw_ref text, CONSTRAINT crawl_run_pkey PRIMARY KEY (run_id), CONSTRAINT crawl_run_source_id_fkey FOREIGN KEY (source_id) REFERENCES public.menu_source(source_id) ); CREATE TABLE public.menu_item ( menuitem_id bigint GENERATED ALWAYS AS IDENTITY NOT NULL, run_id bigint NOT NULL, categorie text, product text NOT NULL, beschrijving text, prijs numeric, valuta text NOT NULL DEFAULT 'EUR'::text, volume text, merk text, merkeigenaar text, positie integer, confidence real, CONSTRAINT menu_item_pkey PRIMARY KEY (menuitem_id), CONSTRAINT menu_item_run_id_fkey FOREIGN KEY (run_id) REFERENCES public.crawl_run(run_id) ); CREATE TABLE public.change_event ( event_id bigint GENERATED ALWAYS AS IDENTITY NOT NULL, outlet_id bigint NOT NULL, source_id bigint, oud_menuitem_id bigint, nieuw_menuitem_id bigint, detectiedatum timestamp with time zone NOT NULL DEFAULT now(), event_type text NOT NULL CHECK (event_type = ANY (ARRAY['product_toegevoegd'::text, 'product_verwijderd'::text, 'prijs_verhoogd'::text, 'prijs_verlaagd'::text, 'brand_switch'::text, 'menu_redesign'::text])), oude_waarde text, nieuwe_waarde text, ai_interpretatie text, impact text CHECK (impact = ANY (ARRAY['hoog'::text, 'midden'::text, 'laag'::text])), opportunity_score integer CHECK (opportunity_score >= 0 AND opportunity_score <= 100), aanbevolen_actie text, bevestigd_runs integer NOT NULL DEFAULT 1, status text NOT NULL DEFAULT 'nieuw'::text CHECK (status = ANY (ARRAY['nieuw'::text, 'bekeken'::text, 'afgehandeld'::text, 'false_positive'::text])), CONSTRAINT change_event_pkey PRIMARY KEY (event_id), CONSTRAINT change_event_outlet_id_fkey FOREIGN KEY (outlet_id) REFERENCES public.outlet(outlet_id), CONSTRAINT change_event_source_id_fkey FOREIGN KEY (source_id) REFERENCES public.menu_source(source_id), CONSTRAINT change_event_oud_menuitem_id_fkey FOREIGN KEY (oud_menuitem_id) REFERENCES public.menu_item(menuitem_id), CONSTRAINT change_event_nieuw_menuitem_id_fkey FOREIGN KEY (nieuw_menuitem_id) REFERENCES public.menu_item(menuitem_id) );

Egocentric Video Data Collection – Remote Freelancers Needed

We are looking for reliable freelancers to participate in an Egocentric Video Data Collection project that supports the development of next-generation Artificial Intelligence (AI) and Computer Vision technologies. Participants will record real-life daily activities using an approved smartphone securely attached to a head mount, capturing a first-person (POV) perspective. All recordings will be completed and submitted through a client-provided mobile application. This is a real-world data collection project. We are looking for genuine, natural recordings—not scripted or acted content.

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Data Scraper

I need Desicion maker emails, phone numbers business name, all checked that are working of restaurants in Alicante, Valencia cities in Spain and the small towns around them.

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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

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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

Adobe Lightroom Specialist to create Meta Data

I shoot Bodybuilding shows and need help speeding up my Workflow. I currently use Adobe Lightroom Classic and could use help adding the metadata to each photo. (Name of competitors). It is easy use facial recognition to get most of the meta data. However, When they turn around and view their backs the only reference I have is the numbered button they have on their Bikini/trunks. They typically have two buttons. one on the front and one on the back. I typically have anywhere from 7,000-12,000 pics per show. Anyone out there good at this? Looking for a 2 day turnaround. Please reply with estimate etc. Of course I would have to share the library. Thanks for you time. Price TBD

Icelandic Speakers for Data Audio Collection Project

We’re currently inviting native Icelandic speakers from Iceland to join a paid, fully remote AI audio task. Who we’re looking for: Icelandic speakers from Iceland Task details: 10 short phone calls with an AI bot $18per call ($180 total) Around 30 minutes to complete 100% remote No experience needed How to get started: Complete a quick 30-second Icelandic verification on Click worker (required) Once approved, you’ll get access to the paid audio task

Audience Data Buy (USA) Job Seeker

I am looking for data on 25,000 individuals of Nigerian origin who are currently living in the USA and are interested in transitioning into IT careers. This audience includes nurses, Uber drivers, plumbers, caregivers, warehouse workers, and other professionals from blue-collar backgrounds who are looking to move into the IT industry.

Seeking eCommerce Beta Testers

Beta Tester - Optagen Portal & Integrations What you’re testing The Optagen portal lets you manage multiple stores by bringing together data from your commerce, analytics, accounting, inventory, and CRM systems. It creates a single ranked action list, with each recommendation labeled for trust and checked against real results. We need beta testers to use the portal with real store data and identify what breaks, what’s slow, what’s missing, and what doesn’t match reality. Integration coverage required You will test syncing and data accuracy across these integrations: Commerce platforms: Shopify, BigCommerce, WooCommerce, Etsy Analytics: Google Analytics 4, Search Console Shipping/3PL: ShipBob, ShipStation, Easyship Inventory systems: Cin7, Katana Accounting: QuickBooks, Xero Marketing/CRM: Klaviyo You don’t need to use every integration—just test the ones you already use. We’re aiming for each tester to cover at least 3 or 4 integrations from different categories. What we’re asking 1. Sync completeness: Check if all the expected fields from each integration show up in the portal. Are SKU, pricing, margin, sales, traffic, inventory, and competitor data there? 2. Refresh latency: See how long it takes for changes in your source system (like a price update in Shopify or a GA4 event) to show up in the ranked plan. 3. Data accuracy: Choose 5 to 10 data points you can check in both your source system and Optagen. Do they match? 4. Signal read accuracy: The portal calculates metrics such as AI visibility, SKU margins, demand signals, returns concentration, pricing elasticity, and competitor share of voice. Check these against your store. Do they make sense? Can you find the data sources if you look for them? 5. Ranked plan stability: Run the same store scan twice in one week. Does the ranked plan update based on new data, or does it stay the same? Are the revenue-impact numbers realistic? What we’re not asking * Testing the governed execution agent (scheduled to ship later; currently in development) * Load testing or scale testing * Security testing or pen testing * UX/design feedback (we’ll gather that separately) Timeline and access * Beta runs from [DATE] to [DATE] * You’ll get portal access for your own stores, using your real data—not test data. * We’ll keep an eye on logs and collect diagnostics if something fails. Please report any issues as they happen via a feedback button. * We’ll have a weekly sync call to talk about any blockers or patterns you notice. Who should apply * You run 1-5 stores across 2+ of these platforms. * You can verify data accuracy (you know your actual margins, traffic, and sales numbers) * You’re willing to spend 2-4 hours per week auditing sync health and data correctness. * You’re okay with bugs and incomplete features since this is a beta test. When you apply, please indicate: * Which platforms you currently use (Shopify, BigCommerce, WooCommerce, Etsy etc.) * Rough store size (monthly revenue or annual, average order value, SKU count) * Any specific data quality concerns you have with your current setup

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Yorkshire Data Scraper

We are looking to purchase or commission an up-to-date, high-quality B2B marketing database covering Yorkshire and surrounding areas The data will be used to market Material Handling Equipment, Forklift Trucks, Warehouse Equipment, Scrubber Dryers and Industrial Sweepers, so the data must be relevant to companies with factories, warehouses, depots, production sites, industrial premises or operational facilities We are not looking for a basic scraped company list. We require verified, marketing-ready data with named contacts and valid emails wherever possible Include companies located in the following postcode areas: BB, BD, BL, HG, LS, HX, HD, WF, DN, S, SK The address should relate to the actual trading, manufacturing, warehouse, depot or operational site, not just a registered office address where possible. Include companies in the following sectors: 10 – Manufacture of food products 11 – Manufacture of beverages 13 – Manufacture of textiles 14 – Manufacture of wearing apparel 15 – Manufacture of leather and related products 16 – Manufacture of wood and products of wood and cork, except furniture 17 – Manufacture of paper and paper products 18 – Printing and reproduction of recorded media 19 – Manufacture of coke and refined petroleum products 20 – Manufacture of chemicals and chemical products 21 – Manufacture of pharmaceutical products and preparations 22 – Manufacture of rubber and plastic products 23 – Manufacture of other non-metallic mineral products 24 – Manufacture of basic metals 25 – Manufacture of fabricated metal products, except machinery and equipment 26 – Manufacture of computer, electronic and optical products 27 – Manufacture of electrical equipment 28 – Manufacture of machinery and equipment n.e.c. 29 – Manufacture of motor vehicles, trailers and semi-trailers 30 – Manufacture of other transport equipment 31 – Manufacture of furniture 38 – Waste collection, treatment and disposal activities; materials recovery 41 – Construction of buildings 52 – Warehousing and support activities for transportation We want to focus mainly on companies with 1–199 employees Please include employee banding, for example: 1–10 11–25 26–50 51–100 101–199 200+, only if highly relevant For every company, we require the following where available: Company type/industry Company name SIC code Website Employee banding Site address split into address line 1, line 2, line 3, town/city, county and postcode Postcode area Company telephone number Company LinkedIn page Date verified Contact Requirements We require named decision-maker contacts wherever possible. Priority contacts include: Operations Manager Warehouse Manager Purchasing Manager Procurement Manager Facilities Manager Site Manager Production Manager Logistics Manager Managing Director Director General Manager For each contact, please provide: Contact name Job title Direct email address Generic email address, only where no direct email is available Email type: Direct or Generic Email validation status Landline number Direct dial, where available Mobile number, where available Contact LinkedIn profile Date contact was last verified Email Quality Requirements Valid, up-to-date emails are essential. Direct business emails are strongly preferred. Generic emails should only be used where a verified named contact email cannot be found. Please separate direct and generic emails into separate columns. Do not mix them in the same field. We do not want large volumes of guessed, invalid, risky or unverified email addresses. Please confirm what email validation method or tool has been used and include the validation result in the data. Acceptable generic emails, only where direct contacts are unavailable, may include: info@ sales@ enquiries@ purchasing@ procurement@ operations@ Please do not include personal email addresses such as Gmail, Outlook, Hotmail or Yahoo. The data must be: Recently verified Relevant to the requested postcode areas Relevant to the requested industries Deduplicated Suitable for B2B marketing use Free from dormant or dissolved companies Free from irrelevant businesses Focused on genuine operating companies Accurate and cleanly formatted Please do not apply if you are only able to provide basic scraped Companies House data without named contacts and verified emails. Before placing the full order, please provide a sample of 50–100 records. The sample should include a mix of postcode areas, sectors, employee sizes, direct contacts and generic contacts where direct emails are unavailable. The sample will be checked for relevance, accuracy, direct email quality, duplicate records, address quality and suitability for marketing material handling and floor care equipment. We expect there to be over **2,500 companies** matching the requested criteria. Please provide an estimated breakdown by: Postcode area Industry / SIC code Employee banding Number of direct contacts Number of generic contacts Number of validated emails

Cold Call Insurance Data

I am looking for an experienced telemarketer to dial B2C data that will be provided. I would like to trial 2000 records to see how they can perform. Data capture will need to include; Insured, Uninsured, Insured through work then insurance provider i.e AXA, Aviva etc then renewal date and interested not interested. I am a broker in Private health insurance so will all need to be compliant etc. Of course i'd love everyone to be ready to discuss, transferred or appointment to be booked but as long as we can cleanse the data that is my main focus at this stage. if successful this will be an ongoing project for the foreseeable. This project is for real humans only with clear English as this is a very sceptical industry and I do not feel it would be very successful otherwise. Please offer a fair price on the service and happy for 2 prices, one for a trial and one for an ongoing contract I look forward to hearing from you Ben

Data Center - 2D and 3D design

I need a designer that is specialised in the design of Data Center (20MW upto 150MW). Trackrecord and esperience necessary.

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Malaysia Freelancers Needed for Video Collection Project

We are looking for reliable freelancers to participate in an Egocentric Video Data Collection project that supports the development of next-generation Artificial Intelligence (AI) and Computer Vision technologies. Participants will record real-life daily activities using an approved smartphone securely attached to a head mount, capturing a first-person (POV) perspective. All recordings will be completed and submitted through a client-provided mobile application. This is a real-world data collection project. We are looking for genuine, natural recordings—not scripted or acted content.

MailChimp Email Newsletter Templates

I need a flexible designer to work with our small NGO on a range of newsletters and fundraising campaigns. My immediate need is for a simple newsletter with a donate option, a data clean up / unsubscribe option and to go out to around 1,000 contacts.

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Commodity Trading CRM

Seeking an experienced developer familiar with Replit to support and finalize a bespoke Commodity Trading CRM for international markets. The product, initiated on Replit, requires assistance with feature completion, integration, data workflows, user interface refinement, and performance optimization. Ideal candidate will demonstrate Replit proficiency, backend and frontend competence, familiarity with trading workflows, secure data handling, and a collaborative approach to meet delivery timelines and quality standards.

BP 260703 - M&A - Business Agent - eCommerce -

Experienced WordPress/WooCommerce specialist needed for EUWEB BP M&A project: 10 Units (4h each) to develop a proof‑of‑concept site on your URL, showcase GREEN industrial property and patents, and craft broker-ready offers aimed at private equity. Tasks: review provided patent pages, propose promotion and market-entry strategies for Italy, Europe and global targets, design exhibition opportunities for specified countries, and prepare M&A/licensing documentation templates. Budget under €30 for this batch; repeatable engagement possible; ...plz, see better too https://www.expotv1.com/UoW_bp.html ;