NotInvalidUsername/DSA3101_Group8_Project1
Mar 2025 – Apr 2025
2 Months active
Languages Used
Jupyter NotebookPythonHTMLMarkdownSQL
Technical Skills
Data AnalysisData VisualizationMatplotlibNetworkXPandasPlotly
mirabellechew
PROFILE
Mirabellechew
Mirabelle Chew contributed to the NotInvalidUsername/DSA3101_Group8_Project1 repository by developing analytics features and modernizing the Streamlit-based UI to enhance business reporting and operational insights. She engineered a cost-profit analysis tool that correlates visitor distance with attraction popularity, reorganized reporting flows, and improved data visualization using Python, Pandas, and Plotly. Mirabelle standardized data import paths and managed dependencies to ensure robust data ingestion and environment consistency. Her work included frontend enhancements, bug fixes, and the deprecation of legacy modules, resulting in a cleaner codebase. The depth of her contributions improved data reliability, user experience, and stakeholder-ready reporting within two months.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
33Total
Bugs
6
Commits
33
Features
9
Lines of code
1,731
Activity Months2
Your Network
9 people
Work History
April 2025
31 Commits • 7 Features
Apr 1, 2025April 2025 performance for NotInvalidUsername/DSA3101_Group8_Project1 focused on stabilizing data ingestion, modernizing the UI, and delivering analytics/storytelling capabilities that drive business value. Key work included standardizing data import paths, refreshing dependencies for environment alignment, delivering a Subtask Overview, enhancing Streamlit-based UI for A4 and cost-profit pages, expanding Wrapping It Up with ROI/cost-benefit analyses, and improving code quality through cleanup efforts and deprecation of legacy modules. The work improved data reliability, user experience, and stakeholder-ready reporting.
31 Commits • 7 Features
Apr 1, 2025April 2025 performance for NotInvalidUsername/DSA3101_Group8_Project1 focused on stabilizing data ingestion, modernizing the UI, and delivering analytics/storytelling capabilities that drive business value. Key work included standardizing data import paths, refreshing dependencies for environment alignment, delivering a Subtask Overview, enhancing Streamlit-based UI for A4 and cost-profit pages, expanding Wrapping It Up with ROI/cost-benefit analyses, and improving code quality through cleanup efforts and deprecation of legacy modules. The work improved data reliability, user experience, and stakeholder-ready reporting.
April 2025
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary focusing on key accomplishments, with emphasis on feature delivery, UI improvements, and impact on business value. Delivered a high-impact Cost-Profit Analysis feature and performed UI cleanup to streamline reporting and improve data visualization for park-ops decision-making.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary focusing on key accomplishments, with emphasis on feature delivery, UI improvements, and impact on business value. Delivered a high-impact Cost-Profit Analysis feature and performed UI cleanup to streamline reporting and improve data visualization for park-ops decision-making.
Activity
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Quality Metrics
Correctness90.6%
Maintainability90.8%
Architecture85.4%
Performance86.6%
AI Usage20.6%
Skills & Technologies
Programming Languages
HTMLJupyter NotebookMarkdownPythonSQL
Technical Skills
Build OptimizationBusiness AnalysisClusteringCustomer SegmentationData AnalysisData EngineeringData LoadingData ScienceData VisualizationData WranglingDependency ManagementDocumentationFile ManagementFile Path ManagementFile Path Manipulation
Repositories Contributed To
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