
Harry contributed to the Yihe-Harry/DSA3101-Group-Project by building and refining a real-time customer segmentation workflow. Over two months, he reorganized the project structure to prioritize dynamic segmentation, updated documentation to streamline onboarding, and ensured the data pipeline was clear and maintainable. Using Python, Pandas, and Scikit-learn, he implemented data cleaning and KMeans clustering processes, focusing on real-time data processing needs. His work included renaming scripts and updating internal references to improve repository hygiene without altering core functionality. While no major bugs were addressed, Harry’s efforts established a stable, well-documented foundation for future development and reliable feature delivery.

April 2025 monthly summary for Yihe-Harry/DSA3101-Group-Project: Delivered focused maintainability improvements through a targeted project structure refactor and documentation updates. No major bugs fixed this month; the changes establish a stable foundation for subsequent feature work and onboarding.
April 2025 monthly summary for Yihe-Harry/DSA3101-Group-Project: Delivered focused maintainability improvements through a targeted project structure refactor and documentation updates. No major bugs fixed this month; the changes establish a stable foundation for subsequent feature work and onboarding.
For 2025-03, delivered a Real-time Customer Segmentation Workflow Setup for the Yihe-Harry/DSA3101-Group-Project. Reorganized the project structure to prioritize real-time segmentation, updated the README with steps to prepare data, run data cleaning, and execute the segmentation model for dynamic customer assignment, and renamed data cleaning and model scripts to align with the new directory structure. No major bugs fixed this month; the focus was on feature delivery and maintainability. Overall, this work improves readiness for live segmentation, accelerates onboarding, and clarifies the data pipeline. Technologies and skills demonstrated include Python scripting for data prep and modeling, project restructuring, documentation, and Git-based version control.
For 2025-03, delivered a Real-time Customer Segmentation Workflow Setup for the Yihe-Harry/DSA3101-Group-Project. Reorganized the project structure to prioritize real-time segmentation, updated the README with steps to prepare data, run data cleaning, and execute the segmentation model for dynamic customer assignment, and renamed data cleaning and model scripts to align with the new directory structure. No major bugs fixed this month; the focus was on feature delivery and maintainability. Overall, this work improves readiness for live segmentation, accelerates onboarding, and clarifies the data pipeline. Technologies and skills demonstrated include Python scripting for data prep and modeling, project restructuring, documentation, and Git-based version control.
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