
Worked on the SANDAG/ABM repository to enhance airport model input data and calibration processes, focusing on improving simulation accuracy and data integrity. Applied Python scripting and data modeling to update input distributions and time period definitions, ensuring alignment with model horizons. Developed calibration assets and visualizations using Tableau and JavaScript to support trip length and mode share analysis, and updated mode choice coefficients for more accurate transportation modeling. Addressed data validation by implementing a fix to guarantee input shares sum to one, preventing calculation errors. The work emphasized data governance, reproducibility, and reliability for transportation planning and scenario analysis.
March 2026 monthly summary for SANDAG/ABM: Delivered targeted data integrity and modeling enhancements, focusing on share handling and airport model calibration to improve accuracy and decision support. Key results include (1) airport model calibration assets, data sources, and visualizations for trip length and mode share comparisons, with updates to mode choice coefficients to improve transport modeling accuracy; (2) a bug fix ensuring that total shares equal 1.0 across input handling to prevent calculation errors. These changes strengthen model reliability, reproducibility, and business value for transportation planning.
March 2026 monthly summary for SANDAG/ABM: Delivered targeted data integrity and modeling enhancements, focusing on share handling and airport model calibration to improve accuracy and decision support. Key results include (1) airport model calibration assets, data sources, and visualizations for trip length and mode share comparisons, with updates to mode choice coefficients to improve transport modeling accuracy; (2) a bug fix ensuring that total shares equal 1.0 across input handling to prevent calculation errors. These changes strengthen model reliability, reproducibility, and business value for transportation planning.
February 2026 monthly summary for SANDAG/ABM: Focused on enhancing airport model input data to improve simulation accuracy and data integrity. Implemented updates to input distributions and time period definitions, with two commits (a6bc781aa7bb8bf71b324d9d05dc4fe0f51a18de; 7c67207b9cf4e04de04f2226d73d67c78d131def) documented for traceability. No major bugs fixed this month; the work strengthens data governance, model fidelity, and reliability of scenario analyses. Technologies demonstrated include data modeling, data governance, Python scripting, and Git version control.
February 2026 monthly summary for SANDAG/ABM: Focused on enhancing airport model input data to improve simulation accuracy and data integrity. Implemented updates to input distributions and time period definitions, with two commits (a6bc781aa7bb8bf71b324d9d05dc4fe0f51a18de; 7c67207b9cf4e04de04f2226d73d67c78d131def) documented for traceability. No major bugs fixed this month; the work strengthens data governance, model fidelity, and reliability of scenario analyses. Technologies demonstrated include data modeling, data governance, Python scripting, and Git version control.

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