
Jasmine Sun contributed to the arvindkrishna87/STAT390_LegalAid_Fall2025 repository by developing data cleaning scripts and generating a 15-minute bin dataset to analyze queue wait times, supporting improved reporting and dashboarding. She integrated these scripts into the data processing pipeline using R, ensuring reproducibility and alignment between code and documentation. Jasmine also enhanced project maintainability by updating and organizing documentation assets, including PDFs and presentations, and by removing unnecessary macOS artifacts to keep the repository clean. Her work demonstrated a strong focus on data analysis, transformation, and documentation, resulting in a more transparent and accessible project for stakeholders and new contributors.

October 2025 monthly summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Delivered data cleaning scripts and a 15-minute bin dataset for queue wait times, and refreshed project documentation and assets (PDFs and presentations) to support reporting, dashboards, and executive decision-making.
October 2025 monthly summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Delivered data cleaning scripts and a 15-minute bin dataset for queue wait times, and refreshed project documentation and assets (PDFs and presentations) to support reporting, dashboards, and executive decision-making.
September 2025 monthly summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Focus on documentation-related improvements and repo hygiene that support onboarding, maintainability, and project transparency.
September 2025 monthly summary for arvindkrishna87/STAT390_LegalAid_Fall2025. Focus on documentation-related improvements and repo hygiene that support onboarding, maintainability, and project transparency.
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