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jsmith6417/README.md
  • 👋 Hi, I’m @jsmith6417
  • 📊 I focus on applied data analysis using Python, SQL, and Tableau
  • 🧠 My projects emphasize clean data, reproducible workflows, and clear interpretation
  • 📈 Current work includes healthcare, public datasets, and real-world analytical use cases

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  1. CGM-Data CGM-Data Public

    Analysis and visualization of Continuous Glucose Monitoring (CGM) data with Python.

    Jupyter Notebook

  2. BGM-CGM-Alignment BGM-CGM-Alignment Public

    This program compares fingerstick (BGM) readings with the nearest continuous glucose monitor (CGM) values within a 15-minute window. It calculates the percent difference between the two to assess h…

    Jupyter Notebook

  3. FDA-Drug-Shortage-Data FDA-Drug-Shortage-Data Public

    This Jupyter Notebook retrieves real-time drug shortage data for GLP-1 drugs using the FDA Drug Shortages API. The program eliminates the need to manually download and clean CSV files by connecting…

    Jupyter Notebook

  4. BGM-Data BGM-Data Public

    Analysis and visualization of Blood Glucose Monitoring (BGM) data with Python.

    Jupyter Notebook 1

  5. 5K-ADA-Race-Results-Data 5K-ADA-Race-Results-Data Public

    Automates the collection and cleaning of American Diabetes Association 5K@ADA race results. Data is extracted directly from the source, stored in SQLite, and prepared for analysis or visualization,…

    Jupyter Notebook