I analyzed insurance policy lapse and renewal data using Python, SQL Server, Excel, and Power BI. My dashboard showed an 8.6% high-risk rate, a 26% overall lapse rate, and a 29.8% renewal rate.
For retail demand forecasting, I built a Python ETL pipeline and designed a MySQL database to examine demand, inventory, and supplier performance. I also developed Power BI dashboards for retail sales and customer churn, including a DAX-based customer risk scoring model.

