This is an ongoing personal project exploring P&C insurance data analysis, predictive modeling, and actuarial methods. Each module below uses real datasets and targets actuarially relevant problems.
Interactive SQL-backed dashboard for the Kaggle Agency Performance dataset with filters, charts, summary stats, yearly tables, and SQL transparency.
R-based predictive modeling of next-year written premium using regression, tree-based models, and mixed effects models.
CAS Schedule P reserving methods including chain ladder, Bornhuetter-Ferguson, Cape Cod, and reserve diagnostics.
Standalone Excel/VBA version of selected dashboards and actuarial calculations.