I use SQL, Power BI, Python and Microsoft Fabric to help organisations understand customer behaviour, improve retention and make stronger commercial and operational decisions.

My professional background spans gaming and financial services. Most recently, I worked as a Data Analyst at Ubisoft Reflections in Newcastle upon Tyne, where I supported recruitment, finance and studio operations with reporting, data integration and business intelligence solutions.

• Customer churn and retention
• Product and funnel analytics
• A/B testing and incremental revenue
• Business intelligence and semantic modelling
• Analytics engineering and data quality

An end-to-end simulated e-commerce analytics case using PostgreSQL, Python and Power BI to examine churn risk, customer value and cohort retention.

1. A/B Testing & Incremental Revenue — treatment/control analysis, statistical power, commercial significance and cost-aware targeting
2. Subscription Churn & Retention Decision System — temporal validation, model calibration and intervention economics
3. E-commerce Funnel & Revenue Analytics — GA4 event data, BigQuery, conversion leakage and product opportunities

SQL · Power BI · DAX · Python · Microsoft Fabric · PostgreSQL · Data Modelling · A/B Testing · Customer Analytics · Data Quality

• Data Analyst, Ubisoft Reflections — October 2022 to May 2025
• Data Analyst and Credit Analyst, Page Financials — January 2020 to January 2022
• MSc Data Science with Distinction, Teesside University
• Microsoft Certified: Power BI Data Analyst Associate

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