At Viz Box Ltd, I analysed three real-world datasets using SQL, Python and Excel, translating stakeholder questions into clear metrics and actionable findings. I also built repeatable transformation and validation controls and reconciled reports against source records.
For my telco churn project, I analysed 7,043 customer records, built a predictive model with a 0.814 ROC AUC, and created a Power BI dashboard. The analysis found 42.71% churn among month-to-month customers and informed targeted retention recommendations.
At SPARK+ Technologies, I designed, tested and documented an analytical framework that achieved 99% reliability across assessed outputs. I’m interested in growth experimentation, developer communities and web3 products, and I’m currently developing a UK weather and air quality analytics project.
