Actuarial candidate with a statistics degree and successful completion of 4 Core Principles exams. Demonstrated ability in reserving, forecasting, and survival modeling through R and Excel. Strong background in insurance analytics and statistical modeling, enhancing data-driven strategies.
Insurance reserving model (self-initiated)
- Built synthetic claim triangles and estimated IBNR using Chain-Ladder and B-Ferguson in Excel, - validated reserve estimates using LDF analysis with scenario testing
CPI inflation forecasting (time series)
Forecasted CPI using ARIMA(1, 1, 1) in R; achieved MAPE < 8%, used AIC and residual diagnostics for model validation
Study behavior analysis (experimental design)
- Designed and analyzed a 2×3 factorial experiment using regression and ANOVA, - Identified key behavioral drivers (p < 0.05) using R and Excel
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