Sedgwick — Quantitative Risk Analysis Consulting                       

• Engineered and deployed an end-to-end claims inflation forecasting application in Python; modelled macroeconomic impacts on insurance claims costs and led a cross-functional team of 5 via Atlassian.

  • Built a modular forecasting pipeline (ARIMA, Prophet) with scenario-switching and parameterised stress-testing to generate multi-horizon claims cost projections.

  • Implemented multivariate regression and elasticity models in statsmodels to quantify the effect of CPI, interest rates, and supply shocks on claims severity.

  • Engineered reproducible ETL pipelines (pandas, numpy) to ingest and structure high-volume claims datasets for scalable statistical modelling.

Claims Cost Inflation Index — FastAPI forecasting app using Prophet & SARIMAX to model P&C insurance claim cost inflation:

https://github.com/karaavasquezz-stack/claims-cost-inflation-index