
Worked on the usdot-fhwa-stol/carma-analytics-fotda repository to enhance the robustness of turn-related vehicle dynamics analysis. Developed new Python scripts that detect turn events before analysis, introducing a safety mechanism to prevent misleading results when no valid turns are present. Refactored existing analysis code for improved maintainability and readability, and updated plotting and file naming conventions to better support dashboard integration and downstream analytics. Enhanced error handling in guidance speed analysis, increasing the clarity and reliability of reporting. Leveraged skills in data analysis, scripting, and error handling to deliver more accurate and actionable fleet analytics for end users.
April 2025 monthly summary for usdot-fhwa-stol/carma-analytics-fotda: Delivered robust turn-related analysis improvements with detection before analysis, safety guard for zero-turn scenarios, refactoring of analysis scripts, and plotting/name conventions updates. Enhanced error handling for guidance speed analysis to improve clarity and robustness of vehicle dynamics reporting. These changes reduce false positives/negatives and improve reliability of dashboards and vehicle dynamics reporting, enabling better decision-making for fleet analytics.
April 2025 monthly summary for usdot-fhwa-stol/carma-analytics-fotda: Delivered robust turn-related analysis improvements with detection before analysis, safety guard for zero-turn scenarios, refactoring of analysis scripts, and plotting/name conventions updates. Enhanced error handling for guidance speed analysis to improve clarity and robustness of vehicle dynamics reporting. These changes reduce false positives/negatives and improve reliability of dashboards and vehicle dynamics reporting, enabling better decision-making for fleet analytics.

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