Patient & Retention Insights Engineering for Health Clinic

Overview: Engineered a custom operational analytics framework for a dental/health clinic to transform raw appointment logs into dynamic behavioral retention models.

Technical Architecture & Workflow

• Data Pipelines & Ingestion: Built a custom Python & Excel processing pipeline to aggregate, clean, and standardize irregular transactional histories.
• Retention Modeling: Developed statistical logic to calculate moving cohort retention rates across patient visit intervals.
• Behavioral Segmentation: Identified high-value patient segments and quantified their relative impact on overall revenue.

Key Outcomes

Delivered actionable recommendations to improve patient engagement and inform retention-focused revenue optimization decisions.