Data Scientist with experience in building end-to-end machine learning solutions for credit risk, invoice analytics, fraud detection, and insurance modeling. Worked on data collection, feature engineering, model development, validation, deployment, and monitoring using Python and SQL. Built risk scoring and decision frameworks, implemented explainability using SHAP and counterfactual analysis, and supported business teams with actionable insights. Strong expertise in financial analytics, predictive modeling, and scalable data-driven systems.
