Chronic Disease Risk Scoring Model

I developed a scalable machine learning model to identify individuals at high risk of developing Type 2 Diabetes across a population exceeding 200,000. Using Python and Scikit-learn, the model analyzed a combination of demographic, lifestyle, and clinical data to generate accurate risk scores. It successfully identified 78% of high-risk individuals, enabling public health teams to implement targeted early intervention programs. These proactive measures led to a 17% reduction in new diagnoses, demonstrating the impact of data-driven strategies in population health management.