Worked on the Hyubbbb/FLY_PCSQL repository to deliver targeted SQL analytics for biology and car rental datasets, focusing on data analysis and database querying. Developed queries to analyze E. coli colony size deviations, identify the largest fish per type, and categorize bacteria by size, enabling deeper insight and automated reporting. Expanded the codebase with car rental analytics, including fleet availability and seat-based car counts, and introduced practice queries for medical appointments and animal shelter data. Addressed a classification bug in E. coli data and refined car rental availability logic. All work was implemented using SQL, emphasizing practical, reusable database solutions.