
Worked on the Yihe-Harry/DSA3101-Group-Project repository to deliver a real-time customer segmentation workflow, focusing on project structure reorganization and documentation clarity. Implemented Python-based data cleaning and preprocessing pipelines using Pandas and Scikit-learn, enabling dynamic customer assignment through KMeans clustering. Refactored directories and script names to improve maintainability and onboarding, updating the README with clear, step-by-step instructions for preparing and processing data. No major bugs were addressed, as the emphasis was on feature delivery and repository hygiene. The work established a stable foundation for future development, supporting real-time data processing and ensuring consistency across documentation and codebase.
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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