Data Engineer
Cognizant · September 2022 - July 2024
• Extracted and transformed large scale healthcare claims and member data from a relational database using SQL, handling datasets ranging from thousands to millions of records.• Performed data cleaning, missing-value treatment, and feature engineering using Python (Pandas, NumPy), improving data quality and model readiness.• Conducted Exploratory Data Analysis (EDA) to uncover high-frequency claim categories, seasonal patterns, and anomalies in claim approvals.• Built and deployed classification models (Logistic Regression, Decision Tree) to predict claim-approval likelihood, achieving ~82% accuracy and improved recall for high-risk claims, delivering ML-driven analytical solutions for healthcare claims processing.• Reduced false claim approvals by ~18% and decreased manual review effort by ~22–25% through automated, risk-based claim prioritization.• Exposed model predictions via a FastAPI service for downstream integration.
