A data scientist with a commercial focus

I'm a data scientist based in London with more than four years' experience in data modelling, statistical analysis and insight generation across retail, consumer goods, energy and insurance. I work mainly in Python, SQL, PySpark and R, and I report through Power BI and Tableau.

At Infosys I worked with three clients over three years. For a US confectionery business I built marketing mix models and promotion optimisation on Azure Databricks, alongside a Power BI platform covering a portfolio worth more than $1B. For an energy provider I built an RFM segmentation of over 200,000 customers that raised debt-recovery rates by 14%. In my first role, with a health insurer, I worked through more than a million claims and policy records to find what was driving SLA breaches.

I completed an MSc in Data Science at Coventry University in 2026 with a final mark of 76%. My dissertation applied machine learning sentiment analysis to Amazon book reviews to inform marketing decisions, and during the year I built GenAI projects including a retrieval-augmented analytics agent and a multi-LLM system for job search.

I now work as a Junior Data Analyst at Tahir Group, analysing sales, transaction and labour data across quick-service restaurant sites and using difference-in-differences to evaluate whether operational changes deliver a measurable return. The part of the job I enjoy most is when an analysis becomes a decision someone acts on.