End-to-end data engineering and analytics project focused on clinical healthcare parameters. I took a raw medical dataset containing patient demographics (Age, Gender) and clinical vitals (BMI, Blood Pressure, Cholesterol, Diabetes metrics).
I cleaned missing values, normalized metric formats, and engineered data features using Python and advanced Excel formulas. The final structured database was built to drive downstream business intelligence dashboards and patient risk modeling.