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P. Radha Krishna

PROFILE

P. Radha Krishna

Krishna Pradha developed and integrated a GTFS schedule for Indian Railways into the MobilityData/mobility-database-catalogs repository, expanding the catalog’s coverage for rail transit data. The work involved aligning the new feed’s schema with existing standards, ensuring seamless interoperability for downstream analytics and multi-modal routing systems. Krishna utilized skills in API development, data integration, and transit data management, working primarily with JSON and version control tools like Git. By documenting changes for traceability and maintaining data quality governance, Krishna enabled faster onboarding of Indian Railways schedules, supporting partners and applications that rely on accurate, up-to-date transit data for planning and analysis.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
25
Activity Months1

Work History

November 2025

1 Commits • 1 Features

Nov 1, 2025

November 2025 | MobilityData/mobility-database-catalogs Key feature delivered: GTFS Schedule for Indian Railways. This addition expands data coverage for rail transit, enabling planners and downstream systems to ingest reliable Indian Railways schedules for multi-modal routing and analytics. Technical work included integrating the new GTFS feed into the catalog, ensuring data schema alignment, and recording the change in the repository with commit 1fafa3c5b35b7fadb0ccf4f1274af947a34d3587 (Add schedule for Indian Railways #1107). Impact: improves data completeness, interoperability with other transit datasets, and supports business workflows for partners and apps relying on Indian Railways data. Skills demonstrated include GTFS data modeling, data catalog maintenance, version control, and cross-functional collaboration. Overall impact and accomplishments: Strengthened data coverage for Indian Railways within the catalog, enabling faster onboarding of rail schedules into partner integrations, improved data quality governance, and enabling more accurate multi-modal planning analyses. No major bugs reported this month; all changes adhere to repository standards and are ready for ingestion pipelines. Technologies/skills demonstrated: GTFS data integration, data catalog maintenance, version control (Git), data quality governance, cross-modal data interoperability.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JSON

Technical Skills

API developmentdata integrationtransit data management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

MobilityData/mobility-database-catalogs

Nov 2025 Nov 2025
1 Month active

Languages Used

JSON

Technical Skills

API developmentdata integrationtransit data management

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