This project focuses on building a simple yet effective insulin tracking system using Python. Designed to support individuals managing diabetes, the tracker logs insulin doses, timestamps, and blood glucose levels to help identify patterns and support better decision-making.
The project showcases:
Python scripting for data entry and time-based logging
CSV file handling for data persistence
Data analysis to visualize trends in glucose control
A foundation for future expansion into a web or mobile app with real-time alerts or integration with wearable devices
This tool demonstrates how even a basic coding solution can make a meaningful impact in healthcare. It reflects my commitment to using data analytics for personal health empowerment and highlights the practical skills I’m building as I transition into a data analyst role.