SANDAG/ABM
Nov 2024 – Jan 2025
3 Months active
Languages Used
MarkdownBatch
Technical Skills
DocumentationScriptingTechnical Writing
Mansi Sharma
PROFILE
Mansi Sharma
Worked on the SANDAG/ABM repository over three months, delivering a comprehensive overhaul of technical documentation for travel modeling workflows. Focused on improving onboarding, reproducibility, and maintainability, the work included detailed updates to input and output documentation, clarification of data fields, and the addition of a new Reports section to explain generated outputs. Leveraged Markdown and Batch scripting to streamline preprocessing steps and remove obsolete processes, aligning documentation with evolving model requirements. Iterative reviews and targeted commits ensured traceability and alignment with stakeholder feedback, resulting in clearer guidance for analysts and more reliable, maintainable model runs across the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
5
Lines of code
7,568
Activity Months3
Your Network
17 peopleSame Organization
@sandag.org6
Shared Repositories
11
aber-sandagMember
annekuMember
Ashish KulshresthaMember
Bhargava SanaMember
JoeJimFloodMember
Joe FloodMember
JiaXu1024Member
Jeff YenMember
Kelvin NguyenMember
Work History
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for SANDAG/ABM: Completed a comprehensive documentation overhaul for the travel model, encompassing input parameter details, output directory structure, input data organization, typo fixes, and a new Reports section to clarify the structure and content of generated outputs. This work aligns with reviewer feedback, enhances maintainability, and sets the stage for streamlined onboarding and future development.
5 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for SANDAG/ABM: Completed a comprehensive documentation overhaul for the travel model, encompassing input parameter details, output directory structure, input data organization, typo fixes, and a new Reports section to clarify the structure and content of generated outputs. This work aligns with reviewer feedback, enhances maintainability, and sets the stage for streamlined onboarding and future development.
January 2025
December 2024
7 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for SANDAG/ABM: Focused on strengthening documentation and project hygiene to improve onboarding, reproducibility, and maintainability of CVM/HTM/ABM models. Delivered comprehensive documentation enhancements, performed a targeted preprocessing cleanup, and reinforced quality through iterative reviews. These efforts translate into clearer inputs/outputs for model users, faster integration of changes, and reduced operational overhead.
December 2024
7 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for SANDAG/ABM: Focused on strengthening documentation and project hygiene to improve onboarding, reproducibility, and maintainability of CVM/HTM/ABM models. Delivered comprehensive documentation enhancements, performed a targeted preprocessing cleanup, and reinforced quality through iterative reviews. These efforts translate into clearer inputs/outputs for model users, faster integration of changes, and reduced operational overhead.
November 2024
4 Commits • 2 Features
Nov 1, 2024Delivered focused ABM documentation enhancements in 2024-11 to improve data quality, reproducibility, and user onboarding for SANDAG/ABM. The work centered on input and output documentation updates, enabling clearer data definitions and model results interpretation for analysts and stakeholders.
4 Commits • 2 Features
Nov 1, 2024Delivered focused ABM documentation enhancements in 2024-11 to improve data quality, reproducibility, and user onboarding for SANDAG/ABM. The work centered on input and output documentation updates, enabling clearer data definitions and model results interpretation for analysts and stakeholders.
November 2024
Activity
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Quality Metrics
Correctness98.8%
Maintainability98.8%
Architecture97.4%
Performance98.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
BatchMarkdown
Technical Skills
DocumentationScriptingTechnical Writing
Repositories Contributed To
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