osmlab/name-suggestion-index
Mar 2025 – Dec 2025
3 Months active
Languages Used
JSONPythonJavaScript
Technical Skills
Brand IntegrationConfiguration ManagementData CleaningData ManagementData Enrichmentdata modeling
Marek Marczyński
PROFILE
Marek Marczyński
Over three months, Mutancik contributed to the osmlab/name-suggestion-index repository by enhancing data quality, expanding market coverage, and improving metadata management. He integrated new brands and enriched parcel locker data, focusing on the Polish market and downstream application needs. Using JSON, JavaScript, and Python, Mutancik corrected data inconsistencies, added Wikidata identifiers, and introduced new metadata tags to support better categorization and filtering. His work emphasized configuration management, data modeling, and traceable commit practices, ensuring reproducibility and auditability. These contributions improved dataset consistency, searchability, and usability, supporting both end-user experience and the requirements of downstream analytics and applications.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
6Total
Bugs
2
Commits
6
Features
3
Lines of code
41
Activity Months3
Your Network
158 peopleWork History
December 2025
1 Commits • 1 Features
Dec 1, 2025Concise monthly summary for 2025-12 focusing on key accomplishments, major fixes, and business impact for the osmlab/name-suggestion-index repository.
1 Commits • 1 Features
Dec 1, 2025Concise monthly summary for 2025-12 focusing on key accomplishments, major fixes, and business impact for the osmlab/name-suggestion-index repository.
December 2025
October 2025
3 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | Repository: osmlab/name-suggestion-index Concise monthly summary focused on data enrichment and integrity improvements for parcel locker data used in the Name Suggestion Index. Key features delivered: - InPost Parcel Locker Data Enrichment: Enriched data for InPost Appkomat and Lodówkomat parcel locker types by adding Wikidata identifiers and categorization, improving searchability and data quality. Commits: e111da0cf5b3cc70e22e1170d1ea50082bf49c9a; ce125c7befc75f624007fe9322954b99191213fe. Major bugs fixed: - Data Integrity Fix for Appkomat JSON: Fixed JSON formatting issue for Appkomat brand data to ensure a valid data structure; no code changes were required, indicating a data/configuration correction. Commit: 9600f4b1ec64f5c3cb377f6c553f568be6fbc5f5. Overall impact and accomplishments: - Improved data quality and searchability for parcel locker entries, enabling more accurate queries and better user experience in downstream apps and analytics. - Strengthened data governance with clear commit-based traceability for data enrichments and configuration fixes. Technologies/skills demonstrated: - JSON data modeling and validation, Wikidata integration, data enrichment workflows, and data integrity verification. - Effective use of commit messages for traceability and collaboration within the repository.
October 2025
3 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | Repository: osmlab/name-suggestion-index Concise monthly summary focused on data enrichment and integrity improvements for parcel locker data used in the Name Suggestion Index. Key features delivered: - InPost Parcel Locker Data Enrichment: Enriched data for InPost Appkomat and Lodówkomat parcel locker types by adding Wikidata identifiers and categorization, improving searchability and data quality. Commits: e111da0cf5b3cc70e22e1170d1ea50082bf49c9a; ce125c7befc75f624007fe9322954b99191213fe. Major bugs fixed: - Data Integrity Fix for Appkomat JSON: Fixed JSON formatting issue for Appkomat brand data to ensure a valid data structure; no code changes were required, indicating a data/configuration correction. Commit: 9600f4b1ec64f5c3cb377f6c553f568be6fbc5f5. Overall impact and accomplishments: - Improved data quality and searchability for parcel locker entries, enabling more accurate queries and better user experience in downstream apps and analytics. - Strengthened data governance with clear commit-based traceability for data enrichments and configuration fixes. Technologies/skills demonstrated: - JSON data modeling and validation, Wikidata integration, data enrichment workflows, and data integrity verification. - Effective use of commit messages for traceability and collaboration within the repository.
March 2025
2 Commits • 1 Features
Mar 1, 2025Month 2025-03 — Key outcomes focused on data quality and market expansion in the osmlab/name-suggestion-index repository. Delivered a critical data correction to improve dataset consistency and introduced a new brand to expand fashion name suggestions for the Polish market, with full commit traceability.
2 Commits • 1 Features
Mar 1, 2025Month 2025-03 — Key outcomes focused on data quality and market expansion in the osmlab/name-suggestion-index repository. Delivered a critical data correction to improve dataset consistency and introduced a new brand to expand fashion name suggestions for the Polish market, with full commit traceability.
March 2025
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Quality Metrics
Correctness93.4%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJavaScriptPython
Technical Skills
Brand IntegrationConfiguration ManagementData CleaningData EnrichmentData Managementdata modelingmetadata management
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