osmlab/name-suggestion-index
Jan 2025 – Nov 2025
4 Months active
Languages Used
PythonJSON
Technical Skills
Data ManagementGeographic DataData CurationGeospatial Datadata managementlocation services
Luis Imperial
PROFILE
Luis Imperial
Luis Anton contributed to the osmlab/name-suggestion-index repository by expanding and curating geographic datasets for retail and real estate brands. Over four months, he delivered four features focused on data enrichment, using Python and JSON to update location sets and standardize branding for partners such as Starbucks Reserve, ZUS Coffee, Mixue, and TOMORO Coffee. His work emphasized data curation, schema alignment, and traceable, commit-driven workflows to improve searchability and regional coverage. By modeling new entries after existing tag conventions and ensuring data consistency, Luis enhanced the discoverability and accuracy of location services without introducing code changes or bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
45
Activity Months4
Your Network
161 peopleSame Organization
@outlook.ph3
Work History
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11 Performance Summary: Delivered feature expansion for TOMORO Coffee by expanding its operating area to Singapore. Updated the locationSet in cafe.json to include 'sg', enabling Singapore-based discovery and aligning with TOMORO Coffee's regional strategy. No major bugs fixed this month. Overall impact includes expanded market reach, improved discoverability for customers in Singapore, and readiness for upcoming regional deployments. Key technologies/skills demonstrated include JSON data modeling, repository hygiene, clear commit-based traceability, and data-driven localization practices.
1 Commits • 1 Features
Nov 1, 2025Month 2025-11 Performance Summary: Delivered feature expansion for TOMORO Coffee by expanding its operating area to Singapore. Updated the locationSet in cafe.json to include 'sg', enabling Singapore-based discovery and aligning with TOMORO Coffee's regional strategy. No major bugs fixed this month. Overall impact includes expanded market reach, improved discoverability for customers in Singapore, and readiness for upcoming regional deployments. Key technologies/skills demonstrated include JSON data modeling, repository hygiene, clear commit-based traceability, and data-driven localization practices.
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025Monthly performance summary for 2025-10 focused on feature delivery in the osmlab/name-suggestion-index repository, with emphasis on data enrichment and alignment with existing tag schemas.
October 2025
1 Commits • 1 Features
Oct 1, 2025Monthly performance summary for 2025-10 focused on feature delivery in the osmlab/name-suggestion-index repository, with emphasis on data enrichment and alignment with existing tag schemas.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 performance summary: Delivered key Mixue-related enhancements in osmlab/name-suggestion-index, expanding geographic coverage and standardizing branding to improve data accuracy and brand consistency. Major bugs fixed: none reported this month. Overall impact: broader market visibility for Mixue locations, improved data quality, and streamlined analytics and searchability. Technologies/skills demonstrated: data normalization, branding standardization, commit-based traceability, and Git-driven workflow across a catalog with multiple locations.
1 Commits • 1 Features
May 1, 2025May 2025 performance summary: Delivered key Mixue-related enhancements in osmlab/name-suggestion-index, expanding geographic coverage and standardizing branding to improve data accuracy and brand consistency. Major bugs fixed: none reported this month. Overall impact: broader market visibility for Mixue locations, improved data quality, and streamlined analytics and searchability. Technologies/skills demonstrated: data normalization, branding standardization, commit-based traceability, and Git-driven workflow across a catalog with multiple locations.
May 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Delivered data-driven expansion of store locator coverage for key partners in the Name‑Suggestion‑Index. No code changes were required; updates expanded geographic coverage and availability for Starbucks Reserve and ZUS Coffee locations.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Delivered data-driven expansion of store locator coverage for key partners in the Name‑Suggestion‑Index. No code changes were required; updates expanded geographic coverage and availability for Starbucks Reserve and ZUS Coffee locations.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
Data CurationData ManagementGeographic DataGeospatial Datadata managementlocation services
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