wtg/shubble
Feb 2026 – Mar 2026
2 Months active
Languages Used
PythonJavaScriptTypeScript
Technical Skills
PandasPythondata analysisdata cleaningdata preprocessingdata processing
DJ-Coder-Man
PROFILE
Dj-coder-man
Worked on the wtg/shubble repository to enhance shuttle stop data processing and visualization over a two-month period. Developed and refined the clean_stops function using Python and Pandas to infer unrecorded shuttle stops based on GPS proximity and polyline indices, improving data accuracy for downstream analytics. Modularized stop data processing for maintainability, exposing segment_index in vehicle location data to enable more granular route visualization. Updated the React frontend to align map animations with backend data, ensuring accurate vehicle positioning. Focused on robust testing, codebase refactoring, and clear documentation, resulting in a more reliable, maintainable, and data-driven shuttle analytics pipeline.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
4
Lines of code
51,695
Activity Months2
Your Network
16 peopleWork History
March 2026
3 Commits • 3 Features
Mar 1, 2026Concise March 2026 summary for wtg/shubble focused on delivering deeper data fidelity, improved UI accuracy, and maintainability enhancements. Delivered segment_index exposure in vehicle location data, refined frontend alignment for map visualization, and modularized stop data processing to simplify future work. No major bugs fixed this month. These efforts collectively enable more granular route visualization, more accurate live-tracking on maps, and a cleaner codebase for faster iteration.
3 Commits • 3 Features
Mar 1, 2026Concise March 2026 summary for wtg/shubble focused on delivering deeper data fidelity, improved UI accuracy, and maintainability enhancements. Delivered segment_index exposure in vehicle location data, refined frontend alignment for map visualization, and modularized stop data processing to simplify future work. No major bugs fixed this month. These efforts collectively enable more granular route visualization, more accurate live-tracking on maps, and a cleaner codebase for faster iteration.
March 2026
February 2026
8 Commits • 1 Features
Feb 1, 2026February 2026: Delivered meaningful enhancements to the Shuttle Stop Data Cleaning and Preprocessing Pipeline for wtg/shubble, delivering improved data accuracy, reliability, and maintainability. Implemented the clean_stops function to infer unrecorded shuttle stops based on GPS proximity and polyline indices, ensured correct ordering of pipeline steps (polyline distance before stop cleaning), and expanded test coverage. Cleaned preprocessing utilities by removing duplicate definitions, fixing imports, and correcting minor column-drop issues. These changes reduce data quality risks, enable more accurate shuttle analytics, and support safer operational decisions, directly enabling better scheduling, capacity planning, and data-driven decision making for operations and analytics teams.
February 2026
8 Commits • 1 Features
Feb 1, 2026February 2026: Delivered meaningful enhancements to the Shuttle Stop Data Cleaning and Preprocessing Pipeline for wtg/shubble, delivering improved data accuracy, reliability, and maintainability. Implemented the clean_stops function to infer unrecorded shuttle stops based on GPS proximity and polyline indices, ensured correct ordering of pipeline steps (polyline distance before stop cleaning), and expanded test coverage. Cleaned preprocessing utilities by removing duplicate definitions, fixing imports, and correcting minor column-drop issues. These changes reduce data quality risks, enable more accurate shuttle analytics, and support safer operational decisions, directly enabling better scheduling, capacity planning, and data-driven decision making for operations and analytics teams.
Activity
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Quality Metrics
Correctness83.6%
Maintainability83.6%
Architecture83.6%
Performance83.6%
AI Usage25.4%
Skills & Technologies
Programming Languages
JavaScriptPythonTypeScript
Technical Skills
API developmentPandasPythonReactbackend developmentdata analysisdata cleaningdata modelingdata preprocessingdata processingdata visualizationdatabase managementfrontend developmentmachine learningpandas
Repositories Contributed To
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