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.

Variable Life Adjusted Display and other risk-adjusted quality control charts

Presentation for NHSE Analytical Academy

Presentation on risk stratification model

Simple model of proposed measures for age/sex adjusted differences in A&E attendance by population

End-to-end Medicare risk adjustment analytics pipeline using dbt, DuckDB, and Python (pandas/matplotlib/seaborn).

Using NWS data to risk-adjust emergency department admissions among the homeless

This project analyses the performance of small, mid, and large cap funds from 2020 to 2023. Using linear regression, it calculates volatility and risk-adjusted returns based on closing indices data, providing insights into each fund's risk and performance.

Medicare DeSYNPuf analysis Gamma regression cost modeling & risk adjustment, and multiple factor analysis exposing factors associated with health care spending

This repository contains the R code used to produce the manuscript: 'Development and internal validation of a risk-adjustment model for postoperative morbidity in adults undergoing major elective colorectal surgery: the Perioperative Quality Improvement Programme – colorectal risk model'