arvindkrishna87/STAT390_LegalAid_Fall2025
Sep 2025 – Oct 2025
2 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
Business IntelligenceData AnalysisData CleaningData ProcessingData VisualizationDocumentation
kyangstar
PROFILE
Kyangstar
Katherine Yang contributed to the arvindkrishna87/STAT390_LegalAid_Fall2025 repository by developing a data preparation pipeline and producing comprehensive project documentation to streamline onboarding and analysis. She engineered Jupyter Notebooks in Python to ingest, clean, and process CAR data from CSV and Excel files, including timestamp normalization and extraction of activity hours, enabling reproducible workflows. Katherine also managed Power BI dashboard artifacts and produced PDF presentations to support stakeholder communication. Her work emphasized repository hygiene through asset cleanup, documentation management, and clear notebook organization, resulting in a maintainable codebase that supports both current development and future contributor productivity.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
18Total
Bugs
0
Commits
18
Features
7
Lines of code
1,468
Activity Months2
Your Network
93 people
Work History
October 2025
14 Commits • 5 Features
Oct 1, 2025October 2025 monthly summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Delivered a data preparation pipeline and presentation artifacts that enable rapid, data-driven decisions while improving repository hygiene and maintainability. Demonstrated proficiency in data engineering (Python/Jupyter notebooks for CSV/Excel ingestion, timestamp normalization, hour-of-activity extraction, and CSV export), visualization artifact management (Power BI), documentation production (PDF presentations and docs), and repository housekeeping and naming conventions to support long-term maintainability and compliance.
14 Commits • 5 Features
Oct 1, 2025October 2025 monthly summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Delivered a data preparation pipeline and presentation artifacts that enable rapid, data-driven decisions while improving repository hygiene and maintainability. Demonstrated proficiency in data engineering (Python/Jupyter notebooks for CSV/Excel ingestion, timestamp normalization, hour-of-activity extraction, and CSV export), visualization artifact management (Power BI), documentation production (PDF presentations and docs), and repository housekeeping and naming conventions to support long-term maintainability and compliance.
October 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025In September 2025, delivered foundational project documentation and improved repository hygiene to reduce maintenance overhead and accelerate onboarding for the STAT390 LegalAid project. Focused on actionable docs and clean assets to support present and future development, with no production issues blocking progress.
September 2025
4 Commits • 2 Features
Sep 1, 2025In September 2025, delivered foundational project documentation and improved repository hygiene to reduce maintenance overhead and accelerate onboarding for the STAT390 LegalAid project. Focused on actionable docs and clean assets to support present and future development, with no production issues blocking progress.
Activity
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Quality Metrics
Correctness92.2%
Maintainability92.2%
Architecture88.8%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Business IntelligenceData AnalysisData CleaningData ProcessingData VisualizationDocumentationDocumentation ManagementFile ManagementJupyter NotebookMatplotlibPandasSeaborn
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