Python sibling of the R lossratio package: loss-ratio analysis and projection for long-term health insurance. Stage-adaptive projection (exposure-driven before maturity, chain ladder after), with maturity point and cohort regime detection. In development.

Insurance policy risk & profitability analysis with simulated data, SQL queries, and Power BI storytelling

Loss-ratio analysis and projection for long-term health insurance: stage-adaptive projection (exposure-driven before maturity, chain ladder after), with maturity point and cohort regime detection, plus calendar-diagonal backtesting.

End-to-end analytics project testing whether Australian macroeconomic indicators (ABS, RBA, APRA) can predict general insurance claim severity 2–4 quarters in advance. Includes lead-lag correlation analysis, OLS/Ridge/Lasso regression, stress-test scenarios, and an interactive Streamlit dashboard.