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
Raphael Roy developed a suite of analytics and machine learning tools for the blackSwanCS/Higgs_collaboration_B repository, focusing on model evaluation, interpretability, and robust data handling. He implemented correlation analysis and multi-jet visualization to support cross-scenario feature assessment, and built an end-to-end Boosted Decision Tree classification pipeline using Python, XGBoost, and scikit-learn. Raphael also created a feature importance visualization suite and an interactive histogram tool for signal and background data exploration. His work included refining feature shift analysis with Wasserstein distance metrics and improving data cleaning, demonstrating depth in data science, model persistence, and visualization within a Jupyter Notebook environment.
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 people
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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