Product Data Science project demonstrating causal inference, experimentation analysis, interpretable machine learning, and decision-driven analytics for product and growth teams.

End-to-end healthcare analytics project using Python and Streamlit for data cleaning, EDA, KPI development, ETL support, and interactive dashboarding in a healthcare setting.

📊 Customer churn prediction and retention analytics project using Python, machine learning, and Streamlit to identify at-risk customers, uncover churn drivers, and support data-driven product decisions.