
Katherine Yang contributed to the arvindkrishna87/STAT390_LegalAid_Fall2025 repository by developing data preparation pipelines, time trends analyses, and comprehensive project documentation over a four-month period. She engineered Jupyter Notebook workflows in Python for ingesting, cleaning, and transforming CSV and Excel datasets, including timestamp normalization and feature extraction to support reproducible analysis. Katherine produced stakeholder-facing presentation artifacts and maintained repository hygiene through systematic asset management and documentation updates. Her work emphasized clarity and maintainability, enabling faster onboarding and data-driven decision making. The depth of her contributions is reflected in the integration of business intelligence, data visualization, and technical writing skills.
Monthly summary for 2025-12: The period focused on delivering a Time Trends Analysis feature with accompanying presentation and updated documentation, enhancing data-driven decision making and project maintainability. There were no major bugs fixed documented in this period; efforts were oriented toward delivering business value and improving project artifacts for stakeholders.
Monthly summary for 2025-12: The period focused on delivering a Time Trends Analysis feature with accompanying presentation and updated documentation, enhancing data-driven decision making and project maintainability. There were no major bugs fixed documented in this period; efforts were oriented toward delivering business value and improving project artifacts for stakeholders.
Month: 2025-11 — Concise monthly summary focused on business value and technical achievements for arvindkrishna87/STAT390_LegalAid_Fall2025.
Month: 2025-11 — Concise monthly summary focused on business value and technical achievements for arvindkrishna87/STAT390_LegalAid_Fall2025.
October 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 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.
In 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.
In 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.

Overview of all repositories you've contributed to across your timeline