NotInvalidUsername/DSA3101_Group8_Project1
Apr 2025 – Apr 2025
1 Month active
Languages Used
JinjaMarkdownPythonShell
Technical Skills
Clustering AlgorithmsCode OrganizationData AnalysisData VisualizationDocumentationMachine Learning
angchester
PROFILE
Angchester
Worked on the NotInvalidUsername/DSA3101_Group8_Project1 repository to consolidate the A2 Guest Segmentation Streamlit UI into a unified single-page application. Refactored the codebase to use modular Python functions, improved code organization, and ensured reliable data processing by correcting import paths. Enhanced deployment by loading assets directly from GitHub and introducing a requirements.txt for streamlined setup. Added comprehensive documentation and reorganized repository assets to support onboarding and future development. Leveraged skills in Python, Streamlit, and Pandas to strengthen data-processing integrity and developer productivity, focusing on maintainable code structure and robust deployment practices throughout the project’s initial development phase.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
1
Lines of code
47,800
Activity Months1
Your Network
9 peopleShared Repositories
9
Work History
April 2025
9 Commits • 1 Features
Apr 1, 2025April 2025: Major UI consolidation and data-processing reliability improvements for the A2 project. Delivered a unified A2 Guest Segmentation Streamlit UI with a single-page layout, modular function calls, GitHub-hosted assets, and a new requirements.txt to streamline deployment. Fixed the A2_dataprocessing import path to ensure data processing functions load reliably across the app. Reorganized the repository structure, added ReadMe and assets, and established documentation to accelerate onboarding and future enhancements. These changes strengthen deployment reliability, developer productivity, and data-processing integrity, demonstrating strong Python, Streamlit, and Git/GitHub asset management skills.
9 Commits • 1 Features
Apr 1, 2025April 2025: Major UI consolidation and data-processing reliability improvements for the A2 project. Delivered a unified A2 Guest Segmentation Streamlit UI with a single-page layout, modular function calls, GitHub-hosted assets, and a new requirements.txt to streamline deployment. Fixed the A2_dataprocessing import path to ensure data processing functions load reliably across the app. Reorganized the repository structure, added ReadMe and assets, and established documentation to accelerate onboarding and future enhancements. These changes strengthen deployment reliability, developer productivity, and data-processing integrity, demonstrating strong Python, Streamlit, and Git/GitHub asset management skills.
April 2025
Activity
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Quality Metrics
Correctness91.2%
Maintainability92.2%
Architecture90.0%
Performance86.6%
AI Usage22.4%
Skills & Technologies
Programming Languages
JinjaMarkdownPythonShell
Technical Skills
Clustering AlgorithmsCode OrganizationData AnalysisData VisualizationDocumentationMachine LearningMatplotlibPandasPythonRefactoringScikit-learnSeabornStreamlitWeb Development
Repositories Contributed To
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