atviriduomenys/manifest
Aug 2025 – Jan 2026
3 Months active
Languages Used
CSVTextPython
Technical Skills
Data CleaningData CurationData EngineeringData IntegrationData Managementdata analysis
Meilė P
PROFILE
Meilė P
Worked on the atviriduomenys/manifest repository to deliver five new data features over three months, focusing on public datasets for permits, electronic ticketing, and geographic information. Applied Python and CSV handling to clean, restructure, and standardize schemas, improving data quality and enabling reliable analytics. Enhanced data pipelines by integrating new datasets, refining metadata, and ensuring accurate data retrieval for external consumers. Addressed data modeling and dataset structuring to support extensibility and governance, while maintaining clear commit histories for traceability. The work strengthened data management practices, improved analytics readiness, and ensured public access to well-documented, high-quality datasets without introducing new bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
20Total
Bugs
0
Commits
20
Features
5
Lines of code
386
Activity Months3
Your Network
13 peopleWork History
January 2026
2 Commits • 1 Features
Jan 1, 2026Monthly summary for 2026-01 focused on the atviriduomenys/manifest repository. The primary delivery this month was the Electronic Ticketing Data Model and CSV Schema Enhancements, coupled with a hotfix to stabilize electronic ticket data pipelines. The work improves data integrity, usability, and extensibility for analytics while documenting clear paths for future enhancements.
2 Commits • 1 Features
Jan 1, 2026Monthly summary for 2026-01 focused on the atviriduomenys/manifest repository. The primary delivery this month was the Electronic Ticketing Data Model and CSV Schema Enhancements, coupled with a hotfix to stabilize electronic ticket data pipelines. The work improves data integrity, usability, and extensibility for analytics while documenting clear paths for future enhancements.
January 2026
December 2025
5 Commits • 2 Features
Dec 1, 2025December 2025: Focused data enrichment for the manifest repository. Delivered two major features to enhance ticketing and geographic datasets, enabling more accurate reporting and better geographic context for public transport analytics. All changes are tracked via explicit commits, improving traceability and governance. Impact includes improved data accuracy for analysis, readiness for regulatory reporting, and stronger data infrastructure for ongoing analytics.
December 2025
5 Commits • 2 Features
Dec 1, 2025December 2025: Focused data enrichment for the manifest repository. Delivered two major features to enhance ticketing and geographic datasets, enabling more accurate reporting and better geographic context for public transport analytics. All changes are tracked via explicit commits, improving traceability and governance. Impact includes improved data accuracy for analysis, readiness for regulatory reporting, and stronger data infrastructure for ongoing analytics.
August 2025
13 Commits • 2 Features
Aug 1, 2025August 2025: Delivered two core data features for the Prienai Leidimai dataset within the manifest repo, integrated with the data pipeline, and completed substantial data quality improvements to enable reliable analytics and public access.
13 Commits • 2 Features
Aug 1, 2025August 2025: Delivered two core data features for the Prienai Leidimai dataset within the manifest repo, integrated with the data pipeline, and completed substantial data quality improvements to enable reliable analytics and public access.
August 2025
Activity
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Quality Metrics
Correctness96.0%
Maintainability97.0%
Architecture97.0%
Performance97.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
CSVPythonText
Technical Skills
Data CleaningData CurationData EngineeringData IntegrationData Managementdata analysisdata cleaningdata managementdata modelingdataset structuringfile handlinggeographic information systemsschema design
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