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
Chester Ang developed a unified guest segmentation interface for the NotInvalidUsername/DSA3101_Group8_Project1 repository, consolidating the Streamlit UI into a single-page application with modular Python functions and GitHub-hosted assets. He improved deployment reliability by introducing a requirements.txt and reorganizing the codebase for better maintainability. Chester resolved a critical import path issue in the data processing module, ensuring consistent function loading across the app. His work included enhancing documentation and asset management to streamline onboarding and future updates. Leveraging skills in Python, Streamlit, and code organization, Chester delivered a robust foundation for data-driven web applications within a short timeframe.
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 people
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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