Description
SKILL SUMMARY Actuarial Analysis * Developed and adjusted Insurance Pricing models for Insurance packages * Experienced in Actuarial analysis, modeled End of Year Financial Reserves for the Insurance company * Developed Fair Models for claims handling and Pricing, this helped improved claims handling/processing rate to 600% * Statistical Model evaluations Data Analytics * Modeled clusters using Cluster analysis on National Health and Nutrition Examination Survey (NHANES) III data with R programming * Used various statistical models to model Medical Expenditure Panel Survey (MEPS) with SAS * Model selection (Zero-Inflated Negative Binomial and Logistic regression) with AIC, BIC, COP and other selection criteria. * Worked on clinical trial data to assess the treatment effects on Electrocardiography (ECG) variables using randomized, placebo controlled, and parallel design. Determined an appropriate linear model and covariance structure to describe the relationship between ECG variables and treatments using SAS * Mined data using R programming for discriminant analysis and classification trees to predict whether a player was traded or not during the season in the American Major League Baseball (MLB) * Have in depth knowledge in Predictive modeling, Simulation, Machine learning Educator * Taught courses in Statistics and Actuarial Science courses at Northern Illinois University and Pentecost University respectively Advisor * Served as Consultant to Management and Quality Control department while working as an Actuarial Analyst SOFWARES AND OTHER HIGHLIGHTS SAS SPSS C++ programming SQL R programming Java WinBUGS/ OpenBUGS Microsoft (Excel, Access) LaTeX Research: Value-at-Risk (VaR) Estimation with Extreme Mixture Models and Backtesting Diagnostics May, 2016 Pension Fund Management and Problem of increasing longevity October, 2008
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