Saina Ramyar enhanced the usdot-fhwa-stol/carma-analytics-fotda repository by delivering robust improvements to turn-related data analysis workflows. She implemented a pre-analysis detection mechanism for turn events, ensuring that only relevant data is processed, and introduced a safety check to prevent misleading results when no valid turns are present. Her work included refactoring Python analysis scripts for better maintainability and updating plotting and file naming conventions to align with dashboard requirements. By strengthening error handling in guidance speed analysis, Saina improved the clarity and reliability of vehicle dynamics reporting, demonstrating depth in data analysis, scripting, and error handling within Python environments.