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Desktop-t6hfrhe\yihe

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.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
165
Activity Months2

Work History

April 2025

1 Commits • 1 Features

Apr 1, 2025

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.

March 2025

1 Commits • 1 Features

Mar 1, 2025

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.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

MarkdownPythonShell

Technical Skills

Customer SegmentationData CleaningData PreprocessingDocumentationKMeans ClusteringPandasPythonReal-time Data ProcessingRefactoringScikit-learn

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Yihe-Harry/DSA3101-Group-Project

Mar 2025 Apr 2025
2 Months active

Languages Used

PythonShellMarkdown

Technical Skills

Customer SegmentationData CleaningData PreprocessingKMeans ClusteringPandasPython