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. The system isolates specific patient risk cohorts, evaluates revenue decay, and provides targeted, actionable intervention frameworks for clinic operations.

Technical Architecture & Workflow

• Data Pipelines & Ingestion: Built a custom Python & Excel processing pipeline to aggregate, clean, and standardize irregular transactional histories and manual clinic logs.
• Retention Modeling: Developed statistical logic to calculate moving cohort retention rates, pinpointing the exact visit threshold where customer churn significantly increases.

Business Impact & Operational Outcomes

• Churn Identification: Isolated the critical operational bottlenecks causing a drop in customer lifetime value (LTV).
• Continuous Improvement: Provided data-backed retention strategies, replacing guesswork with a structured framework to improve revenue pipelines.