UK-based data analyst with an MBA in Business Analytics and Marketing, focused on Python, SQL, and Power BI projects with clear commercial outcomes.
Location: Slough, United Kingdom
Target Roles: Junior Data Analyst, BI Analyst, Marketing Analyst
Focus: Thames Valley and wider UK opportunities
| Project | What It Shows | Tech Stack | Headline Result |
|---|---|---|---|
| Retail Deep Dive | End-to-end retail analytics from raw data cleaning to customer segmentation dashboard | Python, SQL, SQLite, Power BI | £8.80M revenue analysed, 67.06% repeat purchase rate, 460 Champion customers identified |
| AI Marketing Pipeline | Sentiment pipeline comparing VADER and DistilBERT with automated reporting and source comparison | Python, NLP, Scikit-learn, Power BI | DistilBERT selected for stronger negative-sentiment detection across 1,500 combined records |
| ROI Optimizer | Marketing Mix Model translating channel performance into ROI and budget decisions | Python, Statsmodels, Pandas, Power BI | TV returns £1.06 per £1 spent; removing it cuts predicted sales by 58.50% |
| Marketing Attribution Engine | Full funnel attribution joining GA4-style web sessions to HubSpot-style CRM revenue at user grain | Python, SQL, SQLite, Tableau | £4.91M closed revenue attributed; switching First Touch to Last Touch moves over £200K of credit away from Facebook |
- Python for data cleaning, automation, modelling, and reporting
- SQL and SQLite for analytical querying and segmentation workflows
- Power BI, DAX, and Tableau for dashboard design and stakeholder-ready storytelling
- Pandas, Scikit-learn, Statsmodels, and NLP tooling for applied analytics projects
- Git and GitHub for version control and portfolio presentation
- Four end-to-end analytics projects with code, outputs, screenshots, and documentation
- A concise portfolio summary with one business-value paragraph per project
- Evidence of commercial thinking, not just technical implementation
- Portfolio work grounded in retail, marketing, and budget optimisation use cases relevant to UK employers