
Worked on the SANDAG/ABM repository to deliver comprehensive documentation for external travel models, focusing on the estimation process for trip counts by type. Used Markdown and technical writing skills to create a detailed wiki that outlines both the External-Internal Destination Choice Model and the External-Internal Toll Choice Model, including methodologies and data sources for each trip category. The documentation was linked to a specific commit for traceability, supporting auditability and future maintenance. This effort enhanced model transparency and reproducibility, streamlining onboarding for new analysts and reducing support needs by providing clear, accessible knowledge capture for cross-team collaboration and governance.
Month 2024-11: Focused on capturing and documenting external travel models within SANDAG/ABM. Delivered comprehensive wiki documentation detailing the estimation process for trip counts by type and providing an overview of the External-Internal Destination Choice Model and the External-Internal Toll Choice Model, including data sources and methodologies used for each trip category. This documentation enhances model transparency, reproducibility, and onboarding for new analysts, supporting governance and cross-team collaboration. No major bugs fixed this month; effort concentrated on knowledge capture and documentation. Technologies/skills demonstrated: technical writing, wiki tooling, model literacy, data-source mapping, and commit-based traceability. Business value: accelerates onboarding, reduces support burden, and enables clearer decision-making with well-documented modeling approaches.
Month 2024-11: Focused on capturing and documenting external travel models within SANDAG/ABM. Delivered comprehensive wiki documentation detailing the estimation process for trip counts by type and providing an overview of the External-Internal Destination Choice Model and the External-Internal Toll Choice Model, including data sources and methodologies used for each trip category. This documentation enhances model transparency, reproducibility, and onboarding for new analysts, supporting governance and cross-team collaboration. No major bugs fixed this month; effort concentrated on knowledge capture and documentation. Technologies/skills demonstrated: technical writing, wiki tooling, model literacy, data-source mapping, and commit-based traceability. Business value: accelerates onboarding, reduces support burden, and enables clearer decision-making with well-documented modeling approaches.

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