Prof-Drake-UMD/INST-760-SUMMER25
Jul 2025 – Aug 2025
2 Months active
Languages Used
CSVPython
Technical Skills
Data AnalysisData EntryData ManagementData VisualizationMatplotlibPandas
Nishma
PROFILE
Nishma
During a two-month period, Nikhil Shah developed foundational analytics and visualization features for the Prof-Drake-UMD/INST-760-SUMMER25 repository. He established the project’s directory structure and ingested datasets in CSV format, enabling data analysis and visualization workflows using Python, Pandas, and Seaborn. His work included building a ramen ratings visualization suite and creating educational disparity analytics by processing a 1001-row education inequality dataset. Nikhil implemented data filtering, managed missing values, and exported visualizations as PNGs, supporting reproducible and shareable insights. The engineering focused on data readiness, maintainable code, and clear commit traceability, laying groundwork for scalable analytics without major bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
5
Lines of code
3,784
Activity Months2
Your Network
98 people
Work History
August 2025
3 Commits • 2 Features
Aug 1, 2025Month: 2025-08 summary focusing on key features delivered, major bugs fixed, overall impact and accomplishments, and technologies demonstrated for Prof-Drake-UMD/INST-760-SUMMER25. Delivered two features enabling education analytics and data visualization. No major bugs fixed this period; minor stability and data quality refinements were applied as part of feature work. Impact includes enabling stakeholder analytics, shareable visuals, and repeatable data pipelines. Skills demonstrated include CSV ingestion, data filtering, visualization, PNG export, and commit-traceable development.
3 Commits • 2 Features
Aug 1, 2025Month: 2025-08 summary focusing on key features delivered, major bugs fixed, overall impact and accomplishments, and technologies demonstrated for Prof-Drake-UMD/INST-760-SUMMER25. Delivered two features enabling education analytics and data visualization. No major bugs fixed this period; minor stability and data quality refinements were applied as part of feature work. Impact includes enabling stakeholder analytics, shareable visuals, and repeatable data pipelines. Skills demonstrated include CSV ingestion, data filtering, visualization, PNG export, and commit-traceable development.
August 2025
July 2025
5 Commits • 3 Features
Jul 1, 2025July 2025 Monthly Summary for Prof-Drake-UMD/INST-760-SUMMER25. Focus was on establishing a solid analytics foundation and delivering initial data assets and visualization capabilities to enable rapid analytics and decision support. The work emphasizes business value through data readiness and scalable visualization workflows, setting up the project for future feature delivery. No major bug fixes were reported this month.
July 2025
5 Commits • 3 Features
Jul 1, 2025July 2025 Monthly Summary for Prof-Drake-UMD/INST-760-SUMMER25. Focus was on establishing a solid analytics foundation and delivering initial data assets and visualization capabilities to enable rapid analytics and decision support. The work emphasizes business value through data readiness and scalable visualization workflows, setting up the project for future feature delivery. No major bug fixes were reported this month.
Activity
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Quality Metrics
Correctness87.6%
Maintainability85.0%
Architecture82.6%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPython
Technical Skills
Data AnalysisData EntryData ManagementData VisualizationMatplotlibPandasProject SetupSeaborn
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