Prof-Drake-UMD/INST-760-SUMMER25
Jul 2025 – Aug 2025
2 Months active
Languages Used
CSVPythonYAML
Technical Skills
CI/CDData AnalysisData EngineeringData VisualizationFile Path ManagementFile Path Manipulation
Vasshanm
PROFILE
Vasshanm
Vas Shan developed a Credit Data Visualization Suite for the Prof-Drake-UMD/INST-760-SUMMER25 repository, focusing on rapid exploration and analysis of credit datasets. Over two months, Vas built interactive dashboards and Python scripts using Pandas, Dash, and Plotly, enabling users to visualize credit data through scatter, bar, box, and line plots with demographic filters. The project included robust CSV data loading, project scaffolding, and a continuous integration pipeline with GitHub Actions for automated testing and linting. Vas emphasized maintainable code, organized assets, and test infrastructure, laying a scalable foundation for future analytics features and supporting efficient, data-driven insights.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
27Total
Bugs
0
Commits
27
Features
5
Lines of code
2,205
Activity Months2
Your Network
6 people
Work History
August 2025
7 Commits • 2 Features
Aug 1, 2025In August 2025 (2025-08), delivered two primary features for Prof-Drake-UMD/INST-760-SUMMER25, with an emphasis on data-driven credit insights and scalable project scaffolding. The work focused on enabling actionable analytics for credit risk assessment and laying the groundwork for QA/testing with UI assets. No major bugs were fixed this period; effort went toward feature delivery, code quality, and repo hygiene to support rapid iteration in the next sprint.
7 Commits • 2 Features
Aug 1, 2025In August 2025 (2025-08), delivered two primary features for Prof-Drake-UMD/INST-760-SUMMER25, with an emphasis on data-driven credit insights and scalable project scaffolding. The work focused on enabling actionable analytics for credit risk assessment and laying the groundwork for QA/testing with UI assets. No major bugs were fixed this period; effort went toward feature delivery, code quality, and repo hygiene to support rapid iteration in the next sprint.
August 2025
July 2025
20 Commits • 3 Features
Jul 1, 2025July 2025 – Delivered core analytics capability and solid build foundation: a Credit Data Visualization Suite enabling rapid exploration of Credit_Data.csv, initial project scaffolding with test infra, and a CI pipeline. These deliver faster data-driven insights, higher code quality, and a scalable platform for continuous analytics features.
July 2025
20 Commits • 3 Features
Jul 1, 2025July 2025 – Delivered core analytics capability and solid build foundation: a Credit Data Visualization Suite enabling rapid exploration of Credit_Data.csv, initial project scaffolding with test infra, and a CI pipeline. These deliver faster data-driven insights, higher code quality, and a scalable platform for continuous analytics features.
Activity
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Quality Metrics
Correctness64.4%
Maintainability68.8%
Architecture61.4%
Performance63.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPythonYAML
Technical Skills
CI/CDDashDashboard DevelopmentData AnalysisData EngineeringData ManagementData VisualizationFile Path ManagementFile Path ManipulationGitHub ActionsLintingMatplotlibPandasPlotlyPython
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