blackSwanCS/Higgs_collaboration_B
Jun 2025 – Jun 2025
1 Month active
Languages Used
BinaryGitGit IgnoreJupyter NotebookPythonShellText
Technical Skills
CI/CD ConfigurationCode FormattingCode LintingCode RefactoringData AnalysisData Management
Paul Ménard
PROFILE
Paul Ménard
Paul Menard enhanced the blackSwanCS/Higgs_collaboration_B repository by delivering a suite of code quality and stability improvements over one month. He implemented repository-wide code formatting using Black and improved CI/CD pipelines with refined linting and GitHub Actions configuration, ensuring automated quality checks. Paul restored and integrated the sample_model into model.py, expanded the internal dictionary, and updated .gitignore for better notebook management. He addressed commit integrity issues and stabilized the boosted decision tree, resulting in more reliable test outcomes. Working primarily in Python and Jupyter Notebook, Paul’s contributions improved code consistency, repository hygiene, and the reliability of machine learning workflows.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
29Total
Bugs
3
Commits
29
Features
7
Lines of code
5,309
Activity Months1
Your Network
41 people
Work History
June 2025
29 Commits • 7 Features
Jun 1, 2025June 2025 monthly summary for blackSwanCS/Higgs_collaboration_B: Delivered a suite of code quality, stability, and repository hygiene improvements that reduce risk, accelerate development, and improve production reliability. Implemented repository-wide code formatting with Black, tightened linting and CI configurations, and enhanced notebook/dictionary hygiene. Key functionality additions included restoring and integrating sample_model, expanding the internal dictionary, and aligning formatting with new changes. Major bug fixes addressed commit integrity, boosted decision tree stability, and test reliability, ensuring safer merges and consistent results.
29 Commits • 7 Features
Jun 1, 2025June 2025 monthly summary for blackSwanCS/Higgs_collaboration_B: Delivered a suite of code quality, stability, and repository hygiene improvements that reduce risk, accelerate development, and improve production reliability. Implemented repository-wide code formatting with Black, tightened linting and CI configurations, and enhanced notebook/dictionary hygiene. Key functionality additions included restoring and integrating sample_model, expanding the internal dictionary, and aligning formatting with new changes. Major bug fixes addressed commit integrity, boosted decision tree stability, and test reliability, ensuring safer merges and consistent results.
June 2025
Activity
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Quality Metrics
Correctness86.8%
Maintainability89.4%
Architecture80.8%
Performance79.6%
AI Usage20.6%
Skills & Technologies
Programming Languages
BinaryGitGit IgnoreJupyter NotebookPythonShellText
Technical Skills
CI/CD ConfigurationCode FormattingCode LintingCode RefactoringData AnalysisData ManagementData ScienceData VisualizationDebuggingGitJupyter NotebookMachine LearningMachine Learning Model ManagementMachine Learning OperationsMatplotlib
Repositories Contributed To
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