Data Scientist with 2+ years of experience building predictive models, model-ready datasets, and data-driven insights across community programs, clinical operations, and enterprise reporting environments. Strong background in data mining, statistical analysis, feature engineering, model evaluation, and data quality validation, with hands-on experience using Python, SQL, Scikit-learn, PySpark, Snowflake, and Tableau. Experienced in applying machine learning and GenAI workflows to help teams understand engagement patterns, clinical trends, reporting accuracy, and operational decisions.