Investigative data journalism: quantifying fixable waste in US healthcare, one issue at a time. Open-source analysis of CMS, OECD, and federal datasets. $98.6B in savings identified so far.
Healthcare analytics system identifying hospitals at risk for CMS readmission penalties. Analyzes $5.96B in financial exposure, predicts intervention opportunities, saves $1.46B. Python • scikit-learn • CMS data • Healthcare policy
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Anomaly detection and overcharge prediction in Medicare Part-B claims using unsupervised outlier detection and supervised ML (XGBoost, Random Forest, logit regression). Analyzes 800K+ Illinois claims from CMS 2015 data.
End‑to‑end healthcare analytics case study using CMS Hospital Quality data. SQL for data cleaning, R for predictive modeling, and Tableau for hospital readmission performance insights.
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