fusedio/udfs
Dec 2024 – Dec 2024
1 Month active
Languages Used
Python
Technical Skills
Climate Data AnalysisCloud ComputingCloud Storage (GCS)Code OrganizationData VisualizationGeospatial Analysis
Jacob Prince-Bieker
PROFILE
Jacob Prince-bieker
Worked on the fusedio/udfs repository to deliver consolidated user-defined functions (UDFs) for NEX-GDDP CMIP6 climate model data, focusing on visualization and accessibility. Developed Python-based UDFs that enable visualization of Zarr-format datasets with bounding box and time range selection, incorporating Web Mercator reprojection for geospatial analysis. Added a dedicated UDF to support yearly climate data visualization, facilitating annual trend analysis. Reorganized all UDFs and documentation into a public directory to streamline onboarding and improve discoverability. Addressed packaging and import issues by relocating the Jacob UDF, enhancing maintainability and reducing setup friction for downstream analysts working with cloud storage.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
310
Activity Months1
Work History
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024: Delivered consolidated NEX-GDDP CMIP6 UDFs focused on visualization and accessibility. Implemented UDFs to visualize climate model data stored in Zarr format with bounding box and time range, including Web Mercator reprojection, and added a dedicated UDF for yearly visualization. Reorganized all UDFs and related README files into a public directory to improve discoverability and onboarding. Packaging/maintenance work moved Jacob UDF into the public directory to fix import/discovery friction. These changes enhance data accessibility, reduce setup time for downstream analysts, and strengthen maintainability.
3 Commits • 1 Features
Dec 1, 2024December 2024: Delivered consolidated NEX-GDDP CMIP6 UDFs focused on visualization and accessibility. Implemented UDFs to visualize climate model data stored in Zarr format with bounding box and time range, including Web Mercator reprojection, and added a dedicated UDF for yearly visualization. Reorganized all UDFs and related README files into a public directory to improve discoverability and onboarding. Packaging/maintenance work moved Jacob UDF into the public directory to fix import/discovery friction. These changes enhance data accessibility, reduce setup time for downstream analysts, and strengthen maintainability.
December 2024
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture80.0%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Climate Data AnalysisCloud ComputingCloud Storage (GCS)Code OrganizationData VisualizationGeospatial AnalysisGeospatial Data ProcessingPythonRefactoringZarr
Repositories Contributed To
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