osmlab/name-suggestion-index
Jan 2025 – Jun 2026
7 Months active
Languages Used
PythonJSON
Technical Skills
Data ManagementGeographic DataData CurationGeospatial Datadata managementlocation services
Luis Imperial
PROFILE
Luis Imperial
Contributed to the osmlab/name-suggestion-index repository by delivering seven data-driven features over seven months, focusing on expanding geographic coverage and improving brand data quality for global retail and cafe chains. Leveraged Python and JSON manipulation to model location sets, standardize branding, and enhance internationalization and localization. Work included integrating new countries for brands like Mixue, Tealive, and Cotti Coffee, enriching real estate and cafe datasets, and aligning data with external sources such as Wikipedia. Emphasized data curation, schema consistency, and traceable commit practices to support discoverability, search accuracy, and scalable market expansion without introducing code-level bugs or regressions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
7
Lines of code
74
Activity Months7
Your Network
175 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026: Delivered feature to expand Cotti Coffee operating locations in osmlab/name-suggestion-index and updated the brand/name display to emphasize the English name, aligning with international branding and improving discoverability. Key changes were implemented via commit bd895a71469d076a87483cae45e56dc33e88039c (PR #12262), expanding the locationSet and adjusting default tag values for brand and name. Major bugs fixed: none reported this month. Impact: broader international coverage, improved data quality and searchability, and stronger brand consistency across the index. Technologies/skills demonstrated: data modeling of locationSet, tagging standards for brand/name, governance for international branding, and reliance on diverse data sources (Wikipedia) for jurisdictions.
1 Commits • 1 Features
Jun 1, 2026June 2026: Delivered feature to expand Cotti Coffee operating locations in osmlab/name-suggestion-index and updated the brand/name display to emphasize the English name, aligning with international branding and improving discoverability. Key changes were implemented via commit bd895a71469d076a87483cae45e56dc33e88039c (PR #12262), expanding the locationSet and adjusting default tag values for brand and name. Major bugs fixed: none reported this month. Impact: broader international coverage, improved data quality and searchability, and stronger brand consistency across the index. Technologies/skills demonstrated: data modeling of locationSet, tagging standards for brand/name, governance for international branding, and reliance on diverse data sources (Wikipedia) for jurisdictions.
June 2026
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for osmlab/name-suggestion-index. Focused on expanding brand coverage and improving name-matching accuracy to support global brands across markets, via data-driven enhancements and internationalization work. Delivered two key commits expanding O!Save and Tealive coverage, enhancing matching robustness and paving the way for improved search and data quality.
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for osmlab/name-suggestion-index. Focused on expanding brand coverage and improving name-matching accuracy to support global brands across markets, via data-driven enhancements and internationalization work. Delivered two key commits expanding O!Save and Tealive coverage, enhancing matching robustness and paving the way for improved search and data quality.
March 2026
1 Commits • 1 Features
Mar 1, 2026Monthly work summary for 2026-03 (osmlab/name-suggestion-index): Delivered a focused feature to enrich the cafe catalog with the Macao Imperial Tea brand entry, improving data completeness and searchability. No major bugs fixed this month. The work enhances discoverability for cafe-related data and supports downstream filtering and analytics. Demonstrated data modeling with location and tagging, and leveraged a concise, well-documented commit to the repository.
1 Commits • 1 Features
Mar 1, 2026Monthly work summary for 2026-03 (osmlab/name-suggestion-index): Delivered a focused feature to enrich the cafe catalog with the Macao Imperial Tea brand entry, improving data completeness and searchability. No major bugs fixed this month. The work enhances discoverability for cafe-related data and supports downstream filtering and analytics. Demonstrated data modeling with location and tagging, and leveraged a concise, well-documented commit to the repository.
March 2026
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.
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.
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.
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
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.
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.
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.
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
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
API integrationData CurationData ManagementGeographic DataGeospatial DataJSON manipulationbrand integrationdata managementinternationalizationlocalizationlocation services
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