tgstone/sio-math-workshop
Sep 2025 – Sep 2025
1 Month active
Languages Used
JSONJupyter NotebookMATLABMarkdownPythonTexttext
Technical Skills
Code CleanupCode RefactoringCode ReviewData AnalysisData EngineeringData Visualization
Jared Brzenski
PROFILE
Jared Brzenski
During September 2025, J. Brzensk supported the Day 2 Prado Dam data workshop in the tgstone/sio-math-workshop repository by consolidating datasets and integrating Python and MATLAB workflows for interactive data analysis and visualization. Brzensk focused on code cleanup, removing 29,000 unnecessary lines, refining documentation, and aligning naming conventions to improve reproducibility and onboarding. The work included synchronizing Python and MATLAB example notebooks, adding run scripts, and updating requirements to ensure build and run readiness. Leveraging skills in Python, MATLAB, and data engineering, Brzensk enhanced the codebase’s stability and usability, enabling more reliable training outcomes for scientific data analysis workshops.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
1
Lines of code
73,130
Activity Months1
Your Network
9 people
Work History
September 2025
14 Commits • 1 Features
Sep 1, 2025September 2025: Delivered end-to-end Day 2 Prado Dam data workshop support in tgstone/sio-math-workshop, consolidating datasets and notebooks, establishing Python/MATLAB workflow examples, and refining documentation for interactive data analysis and visualization. Major codebase cleanup and targeted bug fixes improved stability, reproducibility, and workshop readiness.
14 Commits • 1 Features
Sep 1, 2025September 2025: Delivered end-to-end Day 2 Prado Dam data workshop support in tgstone/sio-math-workshop, consolidating datasets and notebooks, establishing Python/MATLAB workflow examples, and refining documentation for interactive data analysis and visualization. Major codebase cleanup and targeted bug fixes improved stability, reproducibility, and workshop readiness.
September 2025
Activity
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Quality Metrics
Correctness91.4%
Maintainability88.6%
Architecture84.2%
Performance82.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMATLABMarkdownPythonTexttext
Technical Skills
Code CleanupCode RefactoringCode ReviewData AnalysisData EngineeringData VisualizationDocumentationJupyter NotebookJupyter NotebooksMATLABMATLAB ScriptingMatplotlibNumPyPandasPython
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