mauricioantelis/TC1002S
Mar 2025 – Mar 2025
1 Month active
Languages Used
CSVJupyter NotebookPython
Technical Skills
CleanupData AnalysisData CleaningData NormalizationData ProcessingData Visualization
Arturo Gomez
PROFILE
Arturo Gomez
Developed end-to-end data analysis and classification workflows for the mauricioantelis/TC1002S repository, focusing on the Iris dataset. Delivered new Jupyter notebooks and Python scripts that implemented data cleaning, normalization, K-means clustering, and visualization using Pandas, Scikit-learn, and Matplotlib. Enhanced repository hygiene by removing obsolete files and virtual environments, streamlining onboarding and reducing technical debt. Improved packaging and environment management to ensure reproducible builds and reliable version handling. The work emphasized creating a robust, maintainable data science environment that accelerates experimentation and onboarding, with all changes tracked through versioned commits to support collaborative development and future feature expansion.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
5,499
Activity Months1
Your Network
29 peopleWork History
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for mauricioantelis/TC1002S: Focused delivery of Iris dataset analysis and classification exploration workflows along with packaging and environment maintenance to improve reproducibility and onboarding. Delivered end-to-end data-science tooling for Iris experiments, including a new D1 analysis notebook, a classification-focused notebook, and an expanded analysis approach with clustering. Cleaned up repository hygiene and packaging artifacts to reduce onboarding time and technical debt. No critical defects fixed this month; the work centers on delivering business-relevant insights and a robust development environment that accelerates future experimentation.
5 Commits • 2 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for mauricioantelis/TC1002S: Focused delivery of Iris dataset analysis and classification exploration workflows along with packaging and environment maintenance to improve reproducibility and onboarding. Delivered end-to-end data-science tooling for Iris experiments, including a new D1 analysis notebook, a classification-focused notebook, and an expanded analysis approach with clustering. Cleaned up repository hygiene and packaging artifacts to reduce onboarding time and technical debt. No critical defects fixed this month; the work centers on delivering business-relevant insights and a robust development environment that accelerates future experimentation.
March 2025
Activity
Loading activity data...
Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture88.0%
Performance88.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
CSVJupyter NotebookPython
Technical Skills
CleanupData AnalysisData CleaningData NormalizationData ProcessingData VisualizationDependency ResolutionEnvironment ManagementFeature EngineeringJupyter NotebookK-means ClusteringMachine LearningMatplotlibNumPyPackage Management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline