blackSwanCS/Higgs_collaboration_B
Jun 2025 – Jun 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Code CleanupData AnalysisData CleaningData ScienceData VisualizationJoblib
Roy Raphael
PROFILE
Roy Raphael
Contributed to the blackSwanCS/Higgs_collaboration_B repository by developing a suite of analytics and machine learning tools focused on model evaluation and data handling. Built a Boosted Decision Tree classification pipeline using Python, XGBoost, and scikit-learn, including model training, persistence, and evaluation. Enhanced interpretability through feature importance visualization and interactive histogram tools for signal and background data. Implemented correlation analysis and multi-jet visualizations to support cross-scenario assessment, and improved feature shift analysis using Wasserstein distance metrics. Emphasized robust data cleaning and code cleanup throughout, leveraging Jupyter Notebook and Pandas to streamline dataset preparation and maintain a maintainable codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
7
Lines of code
3,025
Activity Months1
Your Network
41 peopleShared Repositories
21
Work History
June 2025
15 Commits • 7 Features
Jun 1, 2025June 2025 performance summary for blackSwanCS/Higgs_collaboration_B: Delivered a targeted set of analytics and ML capabilities to enhance model evaluation, interpretability, and data handling, with a focus on cross-jet insights and robust feature analysis.
15 Commits • 7 Features
Jun 1, 2025June 2025 performance summary for blackSwanCS/Higgs_collaboration_B: Delivered a targeted set of analytics and ML capabilities to enhance model evaluation, interpretability, and data handling, with a focus on cross-jet insights and robust feature analysis.
June 2025
Activity
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Quality Metrics
Correctness82.0%
Maintainability83.4%
Architecture73.4%
Performance69.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Code CleanupData AnalysisData CleaningData ScienceData VisualizationJoblibJupyter NotebookLightGBMMachine LearningMatplotlibModel PersistencePandasPicklePythonScikit-learn
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