Python toolkit for Medicaid claims data analysis — preprocessing, cleaning, risk adjustment (Elixhauser, CDPS-Rx), quality measures (PQI, BETOS, low-value care), and patient-level analytic file construction for MAX and TAF CMS data. Built on Dask for scalable processing of large-scale healthcare claims datasets.

Community driven, value based primary care for Medicare beneficiaries in Gainesville, FL

Code, metadata, mock templates, and manuscript outputs for a transparent observed-data workflow using licensed AHA survey and IT data.

Implementation of the Operative Stress Score (OSS) for Health Services Research

SQL-first healthcare claims analytics project that maps ICD/CPT/NPI to provider cost variation and generates client-ready utilization insights.

Code examples for IV, 2SLS, and 2SRI for Multilevel/Hierarchical Models. Designed for masters-level students in statistics/biostatistics/causal inference/data science, or PhD students and postdocs from an allied field needing applied statistics examples to help with a project.

SQL-based analytic warehouse that converts administrative health insurance claims into patient episodes, referral patterns, and utilization indicators.