The candidate’s academic and career aspirations

An essay on how Phd in Data Science supports the candidate’s academic and career aspirations Client Drug Group Forecast: • Achieved $25M saving through increased accuracy and operational efficiency of the Underwriting Forecasting platform. • Build XgBoost model to predict client’s drug utilization which showed error reduction of 2% compared to manual forecasting method. • Steps involved formulating showing impact through proof of concept, building analytical architecture, defining target population, building modeling data pipeline, data preprocessing and analysis, building Machine Learning model. • Studied the claim utilization changes with respect to brand to generic switches, new drug getting introduced in the market, rise/fall of chronic conditions.