Month: 2025-05 — Key features delivered: Transit Data Analysis Dataset Introduction for Prof-Drake-UMD/INST767-Sp25, introducing a large dataset with routes, vehicle identifiers, timestamps, and prediction-related information to enable analytics and ML features. The initial project setup was captured in the commit 'Add Yixin_Bai project files' (dacf05ccf2f682f00c2d8bdf14856cd0f79d566f). Major bugs fixed: No major bugs reported this month; work focused on infrastructure and data delivery. Overall impact and accomplishments: Establishes a scalable data foundation for transit analytics, enabling data-driven decision-making, rapid feature prototyping, and ML experimentation. Strengthens collaboration through early project scaffolding and clear data schemas. Technologies/skills demonstrated: data engineering, dataset curation and modeling, version control, and cross-team collaboration facilitating analytics and ML initiatives.