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
Developed a Credit Data Visualization Suite and interactive dashboards for the Prof-Drake-UMD/INST-760-SUMMER25 repository, enabling rapid exploration and analysis of credit datasets. Leveraged Python, Pandas, and Dash to create scatter, bar, box, and line plots, as well as demographic filters for actionable credit risk insights. Established robust project scaffolding, including test infrastructure and UI assets, to support maintainability and future feature expansion. Integrated continuous integration workflows using GitHub Actions and YAML for automated testing, linting, and dependency management. Focused on code quality, data workflow readiness, and scalable architecture, delivering five features over two months without major bug fixes.
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 peopleWork 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
Repositories Contributed To
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