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Data Scientist
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May 2021 - Mar 2026 • 4 yrs 10 mos
Built ML models for fraud detection, credit risk and customer churn prediction. Performed feature engineering, EDA, preprocessing and model development using Python and SQL. Developed end-to-end ML pipelines from data extraction through deployment-ready workflows. Applied Logistic Regression, Random Forest, XGBoost and LightGBM. Improved model performance using SMOTE, hyperparameter tuning and threshold optimization. Built Power BI dashboards and communicated insights to business stakeholders.