James Littlewood

Reading, Berkshire | 07713 047 068 | contact@jameslittlewood.net

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Professional Profile

Technology-focused data professional with experience in eCommerce product data, analytics and technical support. Previous experience at Profitero involved maintaining structured product data, applying taxonomies and investigating data-quality issues, supported by more than seven years at Apple in technical and customer-facing roles.

Currently developing Python, data analysis and automation skills through regular, self-funded, one-to-one tuition with an experienced software developer and practical projects, including the deployment of a self-hosted AI chatbot integrating local and cloud-based large language models.

Core Skills & Technologies

SQL & Databases: PostgreSQL, SQLite, Neon, DBeaver and Letos (SQLiteStudio); SELECT/WHERE, joins, GROUP BY/HAVING, aggregation, views, data validation and reconciliation.

Python & Development: Python fundamentals, data structures, conditional logic, loops, functions and practical programming; developing data analysis and automation skills. Git/GitHub and VS Code.

Data Analysis & Reporting: Excel, Google Sheets, Tableau and Power BI; data cleaning, validation, trend analysis, dashboard development and reporting.

AI & LLM Technologies: Open WebUI, OpenRouter, Unsloth, Qwen, open-weight LLMs, GGUF quantisation, local inference and OpenAI-compatible APIs.

Infrastructure & Tools: Docker, Docker Compose, Ubuntu Linux, Cloudflare, SSH, Windows and macOS; practical experience with self-hosted services and cloud databases.

eCommerce & Product Data: Product validation, categorisation, taxonomies, structured attributes, quality assurance, exception handling and SLA-driven delivery.

Analytical & Communication Skills: Structured problem-solving, root-cause investigation, requirements gathering, stakeholder communication and communicating technical findings.

Professional Experience

Technical Data Analyst | Profitero – Publicis Groupe

August 2025 – September 2026 | Fixed-term contract

  • Managed structured eCommerce product data across multiple clients, retailers and markets, supporting business-as-usual operations and new client implementations.

  • Maintained and validated EAN, UPC and RPC identifiers, titles, brands, manufacturers, pack sizes and structured attributes, applying client-specific taxonomies and categorisation rules.

  • Investigated missing, incorrect and inconsistent data, resolving discrepancies and communicating directly with clients and internal teams regarding data requirements, validation and presentation.

  • Managed assigned work against established processes and SLAs, using JIRA and internal tools to track progress, escalate issues and coordinate with international colleagues.

Apple | The Oracle, Reading

April 2015 – June 2022

Expert / Technical Expert

  • Delivered technical troubleshooting, diagnostics and repair support across Apple devices, using structured investigation and evidence gathering to identify root causes and determine appropriate resolutions.

  • Explained complex technical issues, repair options and device functionality to customers with varying levels of technical understanding.

  • Managed competing customer and operational priorities while maintaining service standards, completing post-repair checks and supporting colleagues through technical coaching.

Team Lead — Temporary Secondment

October 2021 – April 2022

  • Coordinated daily team activity, operational priorities and customer escalations in a busy customer-facing environment.

  • Monitored performance indicators and customer feedback to support operational decisions, staff coaching and service improvements.

Projects & Technical Development

Self-Hosted AI Chatbot & LLM Infrastructure | Personal Project

Open WebUI, OpenRouter, Unsloth, Qwen, GGUF, Docker, Ubuntu Linux, Cloudflare

  • Built and deployed a self-hosted AI chatbot platform using Open WebUI and Docker, integrating cloud-hosted models through OpenRouter alongside locally hosted open-weight LLMs.

  • Configured local LLM inference using Unsloth and OpenAI-compatible APIs, gaining practical experience with quantised models, context windows and hardware limitations.

  • Configured authenticated remote access through Cloudflare Tunnel and Access, alongside practical experience in Ubuntu server administration, automated backups and recovery testing.

The Curious Academy — Data Analytics Bootcamp

May 2025 – July 2025

  • Chicago Bike-Share Analysis: Analysed approximately 24 million records in PostgreSQL to identify usage patterns, seasonal trends and differences between member types.

  • RG House-Price Analysis: Analysed approximately 350,000 Land Registry records in PostgreSQL, visualising historical property price trends using Tableau.

  • NHL Performance Dashboard: Developed a Tableau dashboard comparing Anaheim Ducks performance with other NHL teams through data cleaning, joins and trend analysis.

Ongoing Technical Development

  • Undertaking structured DataCamp learning across Python, SQL, statistics, data visualisation, databases and data modelling, alongside introductory AI and machine learning concepts.

  • Applying technical knowledge through independent study and hands-on projects involving data analysis, databases, automation and self-hosted applications.

Career Development & Travel

June 2022 – May 2025

Travelled while retraining for data and analytics work through structured study, independent technical learning and project work.

Education & Certifications

BSc (Hons) Audio Engineering and Music Production — 2:1

SAE Institute / Middlesex University

Apple iOS / Mac Certified Technician

The Curious Academy — Data Analysis Certification