A data-driven look at how well continuous glucose monitor (CGM) readings align with blood glucose meter (BGM) readings—and what it reveals about device performance and sensor placement.
Abstract
Explore how Python and Tableau can be used to evaluate the alignment between continuous glucose monitor (CGM) and blood glucose meter (BGM) readings. By pairing readings within a 15-minute window and analyzing percent differences over time and by sensor location, the project identifies patterns in device performance and helps validate sensor placement.
Key Points
Read more: Aligning CGM and BGM Readings Using Python and Tableau
A project’s real value comes from how well it adapts as the data changes.
Abstract
The 5K@ADA race results project has been updated for 2025 with improvements to data storage, cleaning, and visualization. Key enhancements include the use of SQLite for managing multi-year data, SQL-based deduplication, handling of multilingual gender values, and updated Tableau dashboards with year-based logic. These changes improve scalability, accuracy, and long-term usability.
Key Points
Read more: Adapting the 5K@ADA Race Results Project for 2025
A deeper look at what surfaced when I asked ChatGPT to assess strengths, weaknesses, and why the results stood out.
A casual question—What’s my hidden superpower?—led to one of the more insightful AI interactions I’ve had. What started as a moment of curiosity turned into a deeper conversation about how we ask questions, how AI responds, and what makes some exchanges far more productive than others.
Read more: What's Your Hidden Superpower? Ask AI the Right Way.
Abstract
This post explores how taking medical and healthcare-focused courses strengthened my data analysis and visualization skills. By engaging with real-world clinical content, I improved how I interpret, structure, and present complex health data — especially in tools like Tableau and Python.
Key Points
Read more: Why I Took Medical Courses to Strengthen My Data Skills
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