VERSO-UVM/Wastewater-Infrastructure-Mapping
Jun 2025 – Jun 2025
1 Month active
Languages Used
JSON
Technical Skills
Data EngineeringData ManagementGISGeoJSONGeospatial AnalysisGeospatial Data
lilyfitzpatrick
PROFILE
Lilyfitzpatrick
Lily Fitzpatrick contributed to the VERSO-UVM/Wastewater-Infrastructure-Mapping repository by delivering robust data asset hygiene and scalable import workflows for geospatial analysis. She engineered batch data import scaffolding and implemented temporary file handling to streamline onboarding and maintenance of GeoJSON datasets. Her work included cleaning legacy geospatial assets, removing outdated or duplicate files, and establishing clear data management practices to improve data integrity and reduce clutter. Leveraging skills in data engineering, GIS, and GeoJSON, Lily’s approach enabled faster map production and more reliable geospatial workflows. The depth of her contributions ensured a maintainable project structure and accelerated future data integration.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
48Total
Bugs
2
Commits
48
Features
9
Lines of code
19
Activity Months1
Your Network
12 people
Work History
June 2025
48 Commits • 9 Features
Jun 1, 2025June 2025 performance for VERSO-UVM/Wastewater-Infrastructure-Mapping: delivered critical data asset hygiene, batch-2 data import scaffolding, and temporary-file handling to enable reliable geospatial analyses and faster map production. Cleaned legacy GeoJSON assets (Barnard, Stockbridge, Chittenden, Belvidere), established temp data workflows, and kickstarted bulk data asset imports, resulting in clearer dataset references, improved data integrity, and accelerated onboarding of new data assets.
48 Commits • 9 Features
Jun 1, 2025June 2025 performance for VERSO-UVM/Wastewater-Infrastructure-Mapping: delivered critical data asset hygiene, batch-2 data import scaffolding, and temporary-file handling to enable reliable geospatial analyses and faster map production. Cleaned legacy GeoJSON assets (Barnard, Stockbridge, Chittenden, Belvidere), established temp data workflows, and kickstarted bulk data asset imports, resulting in clearer dataset references, improved data integrity, and accelerated onboarding of new data assets.
June 2025
Activity
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Quality Metrics
Correctness75.0%
Maintainability75.0%
Architecture75.0%
Performance75.0%
AI Usage21.6%
Skills & Technologies
Programming Languages
JSON
Technical Skills
Data EngineeringData ManagementGISGeoJSONGeospatial AnalysisGeospatial Data
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