Analytical & AI Design
Algorithm Design for Healthcare Talent Matching Solution
Crafted a phased strategy for automating candidate matching in a health tech platform. Recommended an affordable rule-based model for initial candidate assessments and detailed a progression towards AI-driven selection using retrieval-augmented generation (RAG) and large language models. Offered guidance on implementation, risk management, and documentation standards to promote auditability and prepare for future model training.
Shared Savings Methodology for Neurological Case Management Offering
Built a transparent, step-by-step methodology to evaluate cost savings tied to care coordination for members with complex neuro conditions. The framework included a rigorous treatment versus control group structure, cost-capping techniques (e.g., winsorization), and logic for adjusting fees based on realized medical and pharmacy claims savings. Enabled performance-based financial arrangements grounded in analytical reproducibility.
Personalized AI Portfolio for Population Health Company
Developed a tailored AI roadmap for a population health company focused on chronic disease management. Outlined analytical goals such as predicting remission likelihood, aligning data-driven interventions to disease stages, and refining outputs with patient-reported outcomes and social determinants. Integrated foundational machine learning strategies with clinical, genetic, and behavioral data to enable precision care at scale.