At Tiger Analytics, I've analyzed healthcare claims data to uncover non-payable items, saving 2% in revenue leakage, and identified provider overcharging patterns to improve cost controls. I also developed a Specialist Incentive & Steerage model to predict potential savings or losses for evidence-based planning.
I use Python, SQL, PySpark, and data visualization to automate recurring reporting, standardize provider data, and turn complex datasets into recommendations for actuarial, product, operations, and leadership teams. My work spans claims analysis, fraud detection, hospital KPI benchmarking, and machine learning projects such as employee attrition prediction.
