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
Worked on the tgstone/sio-math-workshop repository to deliver end-to-end support for a Day 2 data workshop focused on Prado Dam and related datasets. Consolidated multiple datasets and Jupyter Notebooks, establishing integrated Python and MATLAB workflow examples for interactive data analysis and visualization. Emphasized code cleanup by removing 29,000 unnecessary lines, correcting topic nesting, and refining documentation to improve reproducibility and onboarding. Synchronized Python and MATLAB examples to ensure consistent behavior across environments, and added run scripts and updated requirements for build readiness. Leveraged skills in Python, MATLAB, Pandas, and technical writing to enhance workshop stability and training outcomes.
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 peopleWork 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
Repositories Contributed To
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