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matplolib

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Predicts 30-day hospital readmission risk for diabetic patients using data from 130 US hospitals (1999-2008). Includes exploratory data analysis, preprocessing, machine learning modeling, model explainability, and fairness analysis. Aims to identify high-risk patients and reduce preventable readmissions

  • Updated May 9, 2026
  • Jupyter Notebook

Analyzed vendor performance using retail sales and inventory data to identify profit inefficiencies and unsold stock. Utilized SQL, Python, and Power BI to assess vendor efficiency, optimize purchasing decisions, and improve overall sales profitability.

  • Updated Oct 28, 2025
  • Jupyter Notebook

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