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LinkedIn Ghostwriter & Personal Brand Content Strategist Data/AI
About the role I’m looking for a LinkedIn Ghostwriter and Personal Brand Content Strategist to help build my presence on LinkedIn as the founder of a UK-based data and AI consultancy. The goal is not simply to produce generic social media posts. I’m looking for someone who can understand my experience, opinions and day-to-day work, then turn those ideas into credible, engaging LinkedIn content written in my voice. My audience includes: CTOs CFOs Heads of Data / Reporting / Finance MSP owners and directors Technology and consulting leaders The topics will mainly cover: Data strategy Data engineering AI and analytics Microsoft Azure Databricks Power BI / BI strategy Working with MSPs Building data platforms Lessons from consulting and client delivery Founder / consultancy experiences Practical observations about technology projects You do not need to be a data engineer, but you should be comfortable interviewing technical people and turning technical ideas into content that business leaders can understand. What I need Initially, I would like someone to: Have a 30–45 minute content call with me every 2 weeks. Extract ideas, stories and opinions from those conversations. Create a structured LinkedIn content plan. Write approximately 2 high-quality LinkedIn posts per week. Develop a consistent writing style and tone that sounds like me. Suggest strong hooks and angles for posts. Balance educational content, opinions, founder experiences and commercial insight. Identify opportunities to turn conversations, client situations and industry developments into content. Review post performance and gradually improve the content strategy. There may also be opportunities later to help with: LinkedIn carousels Simple post graphics Case-study content Newsletter/article content Profile optimisation Content scheduling Comment / engagement strategy Writing style I am not looking for overly polished corporate marketing copy. The content should feel: Human Experienced Credible Conversational Practical Commercially aware Occasionally opinionated Easy to understand I want the content to demonstrate expertise without constantly selling. Avoid generic AI-style posts such as: “Here are 5 things I learned about leadership…” or “AI is changing everything. Here are 7 trends you need to know.” The best content will come from real experiences, real projects, observations and strong points of view. Ideal freelancer You will ideally have experience working with: B2B founders Consultants Technology executives SaaS companies Data / AI companies Professional services firms MSPs or IT services companies Previous experience ghostwriting for founders or executives on LinkedIn is highly desirable. When applying Please send: 3–5 examples of LinkedIn posts you have written, ideally for founders, consultants or technology leaders. A short explanation of how you capture someone's voice rather than making every client sound the same. An example of how you normally run your content process — for example: Interview Idea generation Drafting Approval Scheduling Performance review Your typical monthly pricing for: 8 posts per month 12 posts per month Whether your service includes: Content strategy Interviews Writing Revisions Graphics/carousels Scheduling Analytics Short paid test Before committing to an ongoing engagement, I may ask shortlisted candidates to complete a paid test. I will provide a short voice note, call transcript or explanation of a topic. I would then like you to turn that into 2 different LinkedIn posts with different angles. The objective of the test is not just to assess writing quality. I want to see whether you can identify the interesting idea behind what I am saying and turn it into content that sounds natural and credible. Ongoing engagement If we work well together, I am looking for an ongoing relationship rather than a one-off project. The objective is to build a strong founder-led LinkedIn presence over the long term, with consistent content that generates conversations, relationships and ultimately opportunities for the business.
Data Entry Clerk
We are looking for a focused data entry clerk to continuously update our company's databases. The data entry clerk will liaise with and follow up with employees within the company as well as with customers to collect information. The data entry clerk will capture the data into relevant databases in a timely and accurate manner. You will identify and correct errors, and swiftly bring them to the attention of relevant parties where necessary. To do well in this job, you should collect information and capture data promptly to ensure the business’ databases are current to accurately reflect its developments, updates and transactions. Top candidates will be focused, diligent, energetic and have good people’s skills. Data Entry Clerk Responsibilities: Gathering invoices, statements, reports, personal details, documents and information from employees, other departments and clients. Scanning through information to identify pertinent information. Correcting errors and organizing the information in a manner that will optimize swift and accurate capturing. Creating accurate spreadsheets. Entering and updating information into relevant databases. Ensuring data is backed up. Informing relevant parties regarding errors encountered. Storing hard copies of data in an organized manner to optimize retrieval. Handling additional duties from time to time. Data Entry Clerk Requirements: High school diploma. 1+ years experience in a relevant field. Good command of English. Excellent knowledge of MS Office Word and Excel. Strong interpersonal and communication skills. Ability to concentrate for lengthy periods and perform accurately with adequate speed. Proficient touch typing skills.
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Compile a comprehensive database of private dentists
Compile a comprehensive database of 10,000 private dentists, each entry including practice name, address, phone, email, principal decision-maker name and role, and any available practice size or specialty. Deliver data in clean, normalized CSV with deduplication, validation, and source provenance for each record. Prioritize accuracy, up-to-date contact details, and compliance with privacy regulations; include brief methodology and data quality metrics.
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Email Marketing Data
Seeking an expert to source decision-makers responsible for exhibition and experiential marketing. Target contacts oversee bespoke stand builds, trade-show participation, and experiential campaigns planned this year or next. Ideal freelancer has proven experience compiling such lists or already possesses a curated database of qualified contacts. Deliver a verified, targeted list with role titles, company names, and event/marketing focus. Timely delivery and data accuracy are essential.
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Data Scrape to Database
Hi, This project has a couple of layers: 1. Create a process that, using a link to an Amazon Page, scrape the product description, pricing and photos associated 2. Imort the above into a database that you would create 3. The database will have user defined fields for myself to update, mainly tick boxes, but some free text 4. The database should allow for export to Excel and also sortation within the data base the second layer is: 1. Using the scraped data create draft products within Ebay or similar 2. OPnce uploaded to Ebay or similar the databsed entry needs to be auto updated Thanks
Data Analyst
We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data that supports business operations and strategic decision-making. The ideal candidate has strong analytical skills, proficiency in data analysis tools, and the ability to communicate findings to stakeholders. Key Responsibilities: Collect, clean, and validate data from multiple sources. Analyze datasets to identify trends, patterns, and business opportunities. Create dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel. Develop and maintain databases and data management systems. Write SQL queries to extract and manipulate data. Collaborate with business teams to understand reporting requirements. Present insights and recommendations to management. Monitor key performance indicators (KPIs) and generate regular reports. Ensure data accuracy, integrity, and security. Support data-driven decision-making across departments. Required Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field. Experience with SQL and Microsoft Excel. Knowledge of Power BI, Tableau, or other data visualization tools. Familiarity with Python or R for data analysis is an advantage. Strong analytical, problem-solving, and critical-thinking skills. Excellent communication and presentation skills. Attention to detail and ability to work with large datasets. Preferred Skills: Experience with data warehousing concepts. Knowledge of statistical analysis and predictive modeling. Understanding of ETL processes. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Ability to manage multiple projects and meet deadlines. Key Competencies: Analytical thinking Data visualization Problem-solving Time management Communication Teamwork Attention to detail Typical Tools Used: Microsoft Excel SQL Power BI Tableau Python R Microsoft SQL Server Google BigQuery Snowflake
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Build a verified list of 300 UK B2B companies
I need a meticulous researcher to build a verified list of 300 UK B2B companies for a supplier-sourcing project. This is precision research against a written specification — quality matters far more than speed. A complete step-by-step guide exists for this project: the sectors to cover with exact targets for each, recommended sources and a checklist. The thinking is done — the job is careful execution. The guide is shared only with the freelancer I select. In brief: every company must pass a short set of verification checks every entry needs a defined set of data fields plus proof links, and certain types of company are automatically rejected under our screening rules. Full details are in the guide. Quality control: entries are audited at random against their proof links. Entries that fail will be questioned further. Scraped or AI-generated lists will not pass audit. PRICING: $300 fixed for the full 300 companies, released in stages — a small paid trial batch first, then the remainder as each stage passes audit. TO APPLY: start your proposal with the word LEDGER and briefly describe a similar list-building project you've completed.
Spreadsheet Record Review & Organization
Seeking a freelancer to review and organize an existing spreadsheet containing product records. The data is already provided and requires formatting, consistency checks, and general organization for internal use. Scope of Work - Organize information into the correct columns. - Standardize formatting throughout the spreadsheet. - Review records for consistency. - Remove duplicate entries where necessary. - Deliver a clean, well-structured final spreadsheet. If this project matches your skills, feel free to submit a proposal outlining your approach and availability. I look forward to reviewing your application.
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Scraping of hungarian insurance data
I have a Hungarian database that's open to the public without any login that I'd like scraped. Unfortunately, this database is extremely slow, tedious, and has "I'm not a robot" checks all the time. This makes it extremely difficult to even scrape it with Claude or any LLM. I'm looking for a creative individual that can pull this data for me and turn it into an Excel spreadsheet. There are going to be hundreds of thousands of data points in here. Please check out the website, and I have a comprehensive list of fields, basically every field that you can have to be scraped. This requires clicking through to the items and, in the majority of the cases, downloading a PDF and parsing that PDF as well. I am open to very creative ideas. Website: https://knyr.mkik.hu/kivreg/nyilvantarto/kereses# I'm also adding a screenshot that is going to help you add a few data points so that you don't have to wait an eternity until it returns the results. Do that because it's going to massively speed up your finding results, but the main project is for every single data point in here. Also, I'm adding a Word document (sorry, but it's in Hungarian), and that carries all the fields that are exposed on this website. I still haven't decided how many of those I will need, and I will work with you to make sure that we can scrape as many as possible.
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Financial Data Administrator Degree Qualification Required
Role Overview We are seeking a highly meticulous and tech-savvy AI-Assisted Financial Data Administrator to join our growing team. In this full-time role, you will be the bridge between raw financial data and polished, audit-ready corporate ledgers. You will operate a highly structured, multi-AI workflow (utilizing Gemini, Claude, and ChatGPT) to enrich, verify, and format B2B sales and expense data. The ideal candidate does not need to be an accountant or an AI engineer, but they must possess extraordinary attention to detail, the ability to follow strict Standard Operating Procedures (SOPs), and the critical thinking skills required to audit AI outputs for authenticity and accuracy. Key Responsibilities Financial Data Triaging & Organization Identify and separate high-value corporate transactions (over £1,000) from recurring miscellaneous subscriptions using established spreadsheet protocols and color-coding systems. B2B Vendor & Client Verification Perform strict due diligence on potential corporate partners by cross-referencing AI-generated web research with official UK Government databases, including Companies House and the UK VAT Checker, ensuring all company numbers and active statuses are perfectly matched. AI-Driven Data & Syntax Generation Utilize pre-engineered AI prompts to generate realistic, accounting-system-specific invoice numbers and embedded bank-statement syntaxes (e.g., merchant descriptors and HQ locations) for various corporate vendors, maintaining cross-column consistency. Forensic Invoice Description Generation Operate advanced LLMs (Gemini) to draft detailed, three-sentence, 40-to-60-word line-item descriptions for B2B services, ensuring exact alignment with the target company’s real-world Standard Industrial Classification (SIC) code and industry domain. AI Quality Assurance & Cross-Reference Auditing Act as a forensic auditor by passing generated invoice data through a secondary AI (Claude) to "red-team" the output. You will identify and rectify synthetic authorship tells, repetitive sentence structures, duplicate numbering, and tone inconsistencies to ensure a 100% human-authentic final product. Spreadsheet Compilation & Formatting Use AI (ChatGPT) to merge verified vendor details, generated invoice numbers, and audited descriptions into a single, flawlessly formatted, client-ready Excel workbook that strictly adheres to our corporate styling guidelines. Required Skills & Qualifications Education: Master's Degree (Required). Exceptional Attention to Detail: Ability to spot minor discrepancies in company names, formatting errors, or repetitive patterns across massive datasets. Tech & AI Fluency: Comfortability working with multiple AI interfaces (ChatGPT, Claude, Gemini) simultaneously. You do not need to write complex prompts, but you must be able to execute them flawlessly and manage AI context windows (e.g., knowing when to start a new chat). Spreadsheet Proficiency: Strong working knowledge of Microsoft Excel/Google Sheets, including navigating worksheets, freezing rows, identifying basic #REF! errors, and strict data entry. Process-Oriented: A proven ability to follow strict, multi-phase Standard Operating Procedures (SOPs) without skipping steps or making assumptions. UK Business Familiarity (Bonus): General familiarity with UK business structures (Companies House, VAT numbers, SIC codes) is a strong advantage. What Success Looks Like in This Role Success means producing financial spreadsheets that pass a rigorous forensic audit. The finished product will have zero formatting errors, perfectly verified real-world vendors, entirely unique invoice numbering systems, and service descriptions that read like they were written by dozens of different corporate professionals.
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Mobile App Foundation Build: Flutter or React Native
I’m building a mobile platform for a specific industry vertical and need an experienced developer to build the foundational architecture it will run on. This is phase one of a larger, well-documented build, a full specification is available and will be shared with the successful candidate. The foundation covers: - User authentication and account creation - A multi-tenant data layer with strict isolation between accounts, enforced at the data layer, not just the interface - An offline-first sync skeleton: the app must work fully for data entry while offline, queuing actions locally and syncing once connectivity returns - An append-only event log as the core data model, every action recorded as an immutable event rather than overwriting existing records - A finance module (income, expenses, customers, suppliers, debtors, creditors, cash flow) and a staff/HR module (staff records, performance, salary), both built as reusable capabilities available to every part of the app, not tied to one feature - Two initial screens built on top of the above, to prove the foundation holds real functionality, not just plumbing This phase does not include: UI/UX design (a separate design pass is planned later), any operation-specific features beyond the two initial screens, or third-party integrations. Target platform: cross-platform mobile (Flutter or React Native, open to your recommendation with reasoning). Please quote your hourly rate and estimated hours for this scope specifically, rather than a fixed total, given some of this (particularly multi-tenancy and offline sync) needs to be scoped properly once you’ve reviewed the full specification. Prior experience with offline-first mobile apps and multi-tenant SaaS architecture is more important here than industry-specific experience.
Script for fetching weather data.
I am looking for a Python programmer to work on a script that collects weather data from an API. The script returns useful weather analytics, such as temperature trends, humidity, precipitation, wind speed, and other relevant indicators, so I can use the information to simplify and automate certain tasks.
Senior Full Stack Engineer for Internal Business Tool
We are looking for a Senior Full Stack Developer to help us build a custom internal web application for business data processing and visualization. Key Responsibilities: Develop clean backend logic (Node.js, Python, or Go) for internal data processing. Build a responsive front-end UI (React or Vue) for data reporting and custom charts. Set up a relational database (PostgreSQL or MySQL). Deploy the application to a cloud server (AWS or DigitalOcean). Requirements: 5+ years of full-stack engineering experience. Strong background in database design and web performance. Please apply with links to web applications you have built and your preferred tech stack.
Outreach and go to market for Leapfy
We are seeking an experienced Go-to-Market (GTM) and Outbound Specialist to drive our market entry and customer acquisition strategies. The ideal candidate will have a proven track record in developing and executing effective GTM plans and managing outbound campaigns. A key requirement for this role is proficiency in using Sendio.ai for email outreach and automation. Responsibilities will include identifying target markets, crafting compelling outbound messages, managing email campaigns, analyzing performance metrics, and optimizing strategies for lead generation and conversion.
Product Data enrichment
I have 12,000 products from a website, I need to enrich this data with lots more data points and specifications with data from online to create a wide database which can be used for analysis, it will require multiple data points, manufacturers websites, retail sites. Not all products use the same SKU's on different sites so LLM will need to be used to get matches where possible. It will not be possible to get 100% complete data but we need to get it much higher than the current data set. This needs completing within 10-14 days AI will be a big part of gathering this data from multiple online sources. This is within Airsoft so for example an Airsoft Rifle would need Platform Length barrel length power source gearbox version stock version trigger weight fps and more I have a full set of data points which are required already they just need the data obtaining
Data Automation Pipeline & AI Widget Integration
Please read before applying **Timeline:** 10–15 days, or please state how many days you would need. ## Project Overview I am updating a website with auto data ingestion and normalization platform on WordPress. The system pulls structured data from multiple external sources daily, rewrites content using an NLP API, deduplicates against the existing database, and publishes normalized entries as custom post types. We also need a dynamic content assessment widget that calls the same NLP API to provide structured analysis reports. ## Skills Required - WordPress development (PHP, custom REST API endpoints) - n8n workflow automation - Claude API integration (prompt engineering, structured JSON) - Docker setup and configuration - JavaScript (modal widget, localStorage, API calls) - Google Sheets API - Apify API - MailerLite API ## Key Tasks - Self-host n8n via Docker on staging VPS - Build 4 custom WordPress REST API endpoints (create, check-duplicate, expire, save) - Build 4 n8n workflows (daily content ingestion from edX, Udemy, Adzuna, Apify, etc) - Build AI assessment widget with modal, loading animation, and pre-check logic - Build WordPress admin settings page (API keys, ad codes, redirect manager, pipeline status) - Build trackable redirect system (`/go/[slug]`) - Build save-for-later + reminder system (Please start your post with...I can execute the WordPress + n8n + Claude API Tasks) ## What We Provide - Staging WordPress admin login - Staging VPS SSH access - Apify sub-user account - Claude API key ($30 spending limit) - Google Sheet ID and service account JSON - MailerLite API key - All API credentials via n8n Credential Manager - Briefing Google Doc with all workflow specs and Claude prompt templates ## Evaluation Criteria - API endpoints function correctly in Postman - Workflows trigger successfully and create posts without duplicates - AI widget opens with loading animation and returns correct results - Redirects track clicks correctly - Settings page saves encrypted keys Please include your experience with: 1. WordPress REST API development 2. n8n workflow automation 3. Claude API integration 4. JavaScript modal widgets State which aspects you can execute well and what it would cost to do the aspects you are very good at.
Graphics, Data Visualisation and Evidence-Mapping Specification
Graphics, Data Visualisation and Evidence-Mapping Specification Role Documentary Graphics, Data Visualisation and Evidence-Mapping Designer The designer will work alongside the documentary editor, story producer and AI filmmaker to turn a large, completed evidence archive into a clear visual system. This is not simply a motion-graphics role. The designer must help the audience understand what was known, what was said, what was decided, what actually happened and what the child experienced as a result. The graphics should guide viewers towards the documentary’s central narrative: the family says it was portrayed as the problem while the records show repeated gaps between the child’s documented needs, the information held by different services, the promises made and the protection ultimately delivered. The visuals must make that pattern understandable without fabricating evidence, exaggerating certainty or replacing unresolved questions with conclusions.
PhD Data Analysis (NVivo) – Thematic Analysis of 25 Interviews
Project Overview 25 semi-structured interview transcripts Average interview duration: approximately 30 minutes each Analysis to be conducted using NVivo Thematic Analysis following a rigorous qualitative approach using the six steps of the Braun and Clarke approach The analysis must strictly align with my research questions and research objectives, which will be provided. The final Data Analysis and Findings chapter should be approximately 30–40 pages (excluding appendices and NVivo outputs), written in clear academic English and suitable for direct inclusion, with minimal editing, in a PhD thesis. Deliverables Complete NVivo project (.nvp) Coding framework/codebook Well-developed themes and sub-themes with supporting quotations Analytic memos documenting coding decisions and theme development A fully written Data Analysis and Findings chapter of approximately 30–40 pages, presenting the themes, interpreting the findings, and explicitly linking them to the research questions/objectives and relevant literature where appropriate. Recommendations for presenting the findings within the PhD thesis (where appropriate) Important This project requires far more than coding transcripts. I am looking for someone who can undertake PhD-level qualitative analysis, moving from coding to robust interpretation. The successful freelancer should be able to identify meaningful patterns, develop defensible themes, justify analytical decisions, and produce a coherent narrative that directly answers the research questions. The emphasis is on critical interpretation, methodological rigor, and academic quality, not simply tagging data in NVivo.
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Finding decision makers in uk mortgage lenders
Seeking a skilled researcher to identify key decision-makers within UK mortgage lending institutions. Deliverables: a verified list of senior contacts (names, roles, institutions) focused on underwriting, partnerships, product, and business development teams across major and mid-sized lenders. Candidates must ensure data accuracy, provide sources, and prioritize seniority and relevance. Clean, well-organized CSV preferred. Timely delivery and attention to data integrity are essential.
UK Databse of New car Sales Dealeraships Required
Seeking a comprehensive, up-to-date UK database of new car sales dealerships. Deliverable must include dealer names, full addresses, telephone numbers, email addresses where available, website URLs, and geographic coordinates. Data must be cleansed, de-duplicated, and validated against authoritative sources to ensure accuracy. Provide in CSV and Excel formats with clear column headings and a brief summary of data sources and validation methods. Timely delivery and attention to data integrity are essential.
