
Worked on BayAreaMetro/NetworkWrangler, delivering robust enhancements to transportation network modeling and planning workflows. Developed and maintained features for project cataloging, configuration management, and data processing, supporting long-range scenario planning and operational accuracy. Leveraged Python and Tableau to automate data cleaning, CSV manipulation, and network analysis, while integrating command-line tooling for diagnostics and reporting. Addressed edge cases in toll management, improved documentation, and enforced safety compliance through Vision Zero integration. Regularly refactored code and streamlined project dependencies, ensuring maintainability and traceability. The work enabled more reliable forecasting, reduced manual intervention, and improved data integrity across multi-year transportation planning cycles.
April 2026 performance summary for BayAreaMetro/NetworkWrangler: Delivered core planning enhancements, reliability improvements, and testing controls across the network model. Key outcomes include expanded TIP horizon with new projects and routing adjustments, realistic timeline realignments for openings, Vision Zero integration with proper model year handling, Transform_SeamlessTransit integration, and an end_year CLI for testing. Addressed a bug in project diff generation and refined TIP commitments by deferring/removing a project to align with revised planning. These changes improve forecasting accuracy, safety-focused planning, and operational readiness while showcasing strong version control discipline and cross-functional collaboration.
April 2026 performance summary for BayAreaMetro/NetworkWrangler: Delivered core planning enhancements, reliability improvements, and testing controls across the network model. Key outcomes include expanded TIP horizon with new projects and routing adjustments, realistic timeline realignments for openings, Vision Zero integration with proper model year handling, Transform_SeamlessTransit integration, and an end_year CLI for testing. Addressed a bug in project diff generation and refined TIP commitments by deferring/removing a project to align with revised planning. These changes improve forecasting accuracy, safety-focused planning, and operational readiness while showcasing strong version control discipline and cross-functional collaboration.
March 2026 (2026-03) — BayAreaMetro/NetworkWrangler delivered a robust baseline for TIP2027, expanded long-range network planning to 2030–2050, and cleaned up modeling dependencies to improve data integrity and maintainability. These actions deliver immediate business value in baseline readiness, scenario planning for upcoming projects, and reduced maintenance overhead for the network model.
March 2026 (2026-03) — BayAreaMetro/NetworkWrangler delivered a robust baseline for TIP2027, expanded long-range network planning to 2030–2050, and cleaned up modeling dependencies to improve data integrity and maintainability. These actions deliver immediate business value in baseline readiness, scenario planning for upcoming projects, and reduced maintenance overhead for the network model.
October 2025 (2025-10) – BayAreaMetro/NetworkWrangler monthly summary: Focused on improving planning accuracy and cross-modal project scope for Strategy T12. Implemented a targeted blueprint inclusion fix in net_spec_blueprint.py to ensure the correct set of projects is reflected in COMMITTED_PROJECTS and BLUEPRINT_PROJECTS, aligning planning scope across transit modes and reducing misalignment risk.
October 2025 (2025-10) – BayAreaMetro/NetworkWrangler monthly summary: Focused on improving planning accuracy and cross-modal project scope for Strategy T12. Implemented a targeted blueprint inclusion fix in net_spec_blueprint.py to ensure the correct set of projects is reflected in COMMITTED_PROJECTS and BLUEPRINT_PROJECTS, aligning planning scope across transit modes and reducing misalignment risk.
July 2025 monthly summary for BayAreaMetro/NetworkWrangler focusing on delivering features and robustness to network project management tooling to improve reporting accuracy, diagnostics, and maintainability. Implemented CLI enhancements, improved tagging robustness, and diagnostics to surface tagging discrepancies, aligning with the latest network build process and Blueprint project needs. Business value delivered includes more accurate, auditable project reports and reduced manual intervention for project tagging and reporting.
July 2025 monthly summary for BayAreaMetro/NetworkWrangler focusing on delivering features and robustness to network project management tooling to improve reporting accuracy, diagnostics, and maintainability. Implemented CLI enhancements, improved tagging robustness, and diagnostics to surface tagging discrepancies, aligning with the latest network build process and Blueprint project needs. Business value delivered includes more accurate, auditable project reports and reduced manual intervention for project tagging and reporting.
April 2025 — BayAreaMetro/NetworkWrangler: Delivered key features and configuration improvements to boost model accuracy, safety compliance, and scalability. Implemented BP_Vision_Zero ordering to ensure consistent speed-reduction applies across all models; expanded Transit Network configuration with new projects and routing adjustments; introduced dictionary-based project handling for transit networks; and onboarded a broad set of projects across 2025–2040 networks to improve modeling fidelity and future-proof planning processes.
April 2025 — BayAreaMetro/NetworkWrangler: Delivered key features and configuration improvements to boost model accuracy, safety compliance, and scalability. Implemented BP_Vision_Zero ordering to ensure consistent speed-reduction applies across all models; expanded Transit Network configuration with new projects and routing adjustments; introduced dictionary-based project handling for transit networks; and onboarded a broad set of projects across 2025–2040 networks to improve modeling fidelity and future-proof planning processes.
In March 2025, BayAreaMetro/NetworkWrangler delivered a broad set of horizon-planning updates and feature enhancements across the Bay Area network, aligned with 2025-2045 planning cycles. The month focused on enabling long-term capacity planning, expanding TRN coverage for reroutes, and refining data quality while laying groundwork for upcoming upgrades. Key work spanned new network elements, timeline shifts to 2040-2045 horizons, and targeted fixes to strengthen routing integrity and data consistency.
In March 2025, BayAreaMetro/NetworkWrangler delivered a broad set of horizon-planning updates and feature enhancements across the Bay Area network, aligned with 2025-2045 planning cycles. The month focused on enabling long-term capacity planning, expanding TRN coverage for reroutes, and refining data quality while laying groundwork for upcoming upgrades. Key work spanned new network elements, timeline shifts to 2040-2045 horizons, and targeted fixes to strengthen routing integrity and data consistency.
February 2025 performance summary for the BayAreaMetro NetworkWrangler: delivered planning-horizon–aligned updates across the 2030 Blueprint and 2025 Committed inventories, with a focus on feature delivery, bug fixes, and data quality improvements that enable earlier business value and more reliable planning.
February 2025 performance summary for the BayAreaMetro NetworkWrangler: delivered planning-horizon–aligned updates across the 2030 Blueprint and 2025 Committed inventories, with a focus on feature delivery, bug fixes, and data quality improvements that enable earlier business value and more reliable planning.
January 2025 monthly summary for BayAreaMetro/NetworkWrangler focusing on data curation, feature expansion, and analytics readiness to improve planning accuracy and support budgeting/procurement decisions.
January 2025 monthly summary for BayAreaMetro/NetworkWrangler focusing on data curation, feature expansion, and analytics readiness to improve planning accuracy and support budgeting/procurement decisions.
November 2024 monthly summary for BayAreaMetro/NetworkWrangler focusing on delivering data-source governance and toll management capabilities with improvements to configuration simplicity and edge-case handling.
November 2024 monthly summary for BayAreaMetro/NetworkWrangler focusing on delivering data-source governance and toll management capabilities with improvements to configuration simplicity and edge-case handling.
In October 2024, BayAreaMetro/NetworkWrangler delivered repository-based GTFS data sourcing and enhanced data source documentation. The GTFS data source now uses a repository-relative path, enabling sourcing directly from the project and reducing reliance on a shared network drive. Documentation and data-source handling were clarified for transit updates, including current data sources, Asana task references, and notes on the Treasure Island Ferry data. These changes improve maintainability, reduce data-ops friction, and support faster iteration on transit data updates. The commits reflect focused code and doc improvements (d3bdecfc220346e45f901ec824815f61d95ecf5d; 560fcf9d39a83bc657d1bceaf59956a80a84d531; aa1e630996d8a6db977580abe382a078c6e69553).
In October 2024, BayAreaMetro/NetworkWrangler delivered repository-based GTFS data sourcing and enhanced data source documentation. The GTFS data source now uses a repository-relative path, enabling sourcing directly from the project and reducing reliance on a shared network drive. Documentation and data-source handling were clarified for transit updates, including current data sources, Asana task references, and notes on the Treasure Island Ferry data. These changes improve maintainability, reduce data-ops friction, and support faster iteration on transit data updates. The commits reflect focused code and doc improvements (d3bdecfc220346e45f901ec824815f61d95ecf5d; 560fcf9d39a83bc657d1bceaf59956a80a84d531; aa1e630996d8a6db977580abe382a078c6e69553).

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