Data Scientist at a fintech lender building and deploying machine learning models for risk, underwriting, and product optimization. Day to day: developing ML models and automated pipelines (Airflow, Docker), feature engineering from time-series data, monitoring production models (SHAP, stability metrics), and building dashboards — primarily in Python and SQL.
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