mauricioantelis/TC1002S
Mar 2025 – Mar 2025
1 Month active
Languages Used
Jupyter NotebookPNGPythonSQL
Technical Skills
Data LoadingData ManagementData PreprocessingData VisualizationJupyter NotebooksMachine Learning
luisammm
PROFILE
Luisammm
Mauricio Antelis developed modular student notebook features for the mauricioantelis/TC1002S repository, focusing on onboarding and reproducible workflows. He established a structured workspace by creating dedicated directories and scaffolding templates, enabling consistent lab experiences for new students. Using Python and Jupyter Notebooks, he delivered data management and visualization notebooks leveraging Pandas, Seaborn, and Matplotlib to support hands-on learning. Additionally, he implemented an Iris dataset classification notebook that covered data loading, preprocessing, and clustering, producing both code and visual artifacts. The work emphasized maintainable, ready-to-review materials, prioritizing educational utility and workflow consistency over bug fixes during the development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
18,739
Activity Months1
Your Network
116 people
Work History
March 2025
5 Commits • 3 Features
Mar 1, 2025March 2025 (TC1002S) — Delivered modular student notebook features, added analysis and Iris notebooks, strengthening onboarding, hands-on practice, and reproducible workflows. No critical bugs fixed this month; focus was on scaffolding, templates, and artifact creation. Result: faster student onboarding, consistent lab experiences, and ready-to-review notebooks for assessment.
5 Commits • 3 Features
Mar 1, 2025March 2025 (TC1002S) — Delivered modular student notebook features, added analysis and Iris notebooks, strengthening onboarding, hands-on practice, and reproducible workflows. No critical bugs fixed this month; focus was on scaffolding, templates, and artifact creation. Result: faster student onboarding, consistent lab experiences, and ready-to-review notebooks for assessment.
March 2025
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPNGPythonSQL
Technical Skills
Data LoadingData ManagementData PreprocessingData VisualizationJupyter NotebooksMachine LearningMatplotlibPandasPythonScikit-learnSeaborn
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