lennycolton/vatglasses-data
Jan 2026 – Feb 2026
2 Months active
Languages Used
JSON
Technical Skills
air traffic control data handlingdata analysisdata managementgeographical information systemsdata structure optimization
Bhira Piromsopa
PROFILE
Bhira Piromsopa
Worked on the lennycolton/vatglasses-data repository to expand and refine air traffic control datasets for Bangkok, focusing on both feature development and data quality improvements. Delivered a comprehensive dataset covering Bangkok airports and airspace sectors, enhancing the application’s geographical information system capabilities. Applied data management and data structure optimization skills to streamline airspace data, including the removal of obsolete Tak Terminal and VTBB references, which improved data hygiene and processing efficiency. Utilized JSON for structured data handling and maintained clear documentation through version control, ensuring traceability and supporting future regional expansions while aligning the dataset with evolving business requirements.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
3Total
Bugs
2
Commits
3
Features
1
Lines of code
17,985
Activity Months2
Your Network
29 peopleWork History
February 2026
1 Commits
Feb 1, 2026February 2026 summary for repository lennycolton/vatglasses-data focused on data-model cleanup and data quality improvements. Delivered a targeted simplification by removing the deprecated VTBB entry from nodata.json, aligning the dataset with current business scope and reducing processing noise. The change is documented via a precise commit and enhances downstream ETL accuracy and performance.
1 Commits
Feb 1, 2026February 2026 summary for repository lennycolton/vatglasses-data focused on data-model cleanup and data quality improvements. Delivered a targeted simplification by removing the deprecated VTBB entry from nodata.json, aligning the dataset with current business scope and reducing processing noise. The change is documented via a precise commit and enhances downstream ETL accuracy and performance.
February 2026
January 2026
2 Commits • 1 Features
Jan 1, 2026Month: 2026-01 — This period focused on expanding geographic data coverage for Bangkok and refining airspace data hygiene. Key features delivered include the Bangkok Airports and Airspace Dataset Expansion, which introduces a comprehensive dataset for airports and airspace sectors in Bangkok, enhancing geographical data capabilities. A major bug fix involved removing Tak Terminal references to streamline data for air traffic control operations. Overall, these efforts improve data quality, enable more accurate spatial analyses, and lay groundwork for future expansion of the dataset across additional regions.
January 2026
2 Commits • 1 Features
Jan 1, 2026Month: 2026-01 — This period focused on expanding geographic data coverage for Bangkok and refining airspace data hygiene. Key features delivered include the Bangkok Airports and Airspace Dataset Expansion, which introduces a comprehensive dataset for airports and airspace sectors in Bangkok, enhancing geographical data capabilities. A major bug fix involved removing Tak Terminal references to streamline data for air traffic control operations. Overall, these efforts improve data quality, enable more accurate spatial analyses, and lay groundwork for future expansion of the dataset across additional regions.
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
air traffic control data handlingdata analysisdata managementdata structure optimizationgeographical information systems
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