Data Engineering & Analysis – Building ETL pipelines, cleaning, processing, and analyzing health/nutrition data using Python (Pandas, NumPy) & SQL.
AI & Machine Learning Applications – Applying intelligent models to extract actionable insights.
Interactive Dashboards – Designing dashboards with Streamlit / Plotly Dash for data visualization and decision support.
Evidence-Based Decision Support – Turning raw data into insights for health, education, and research improvements.