blackSwanCS/Higgs_collaboration_B
Jun 2025 – Jun 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data AnalysisData Analysis SetupData LoadingData VisualizationMachine LearningMachine Learning Integration
Hennart--Frugone Noe
PROFILE
Hennart--frugone Noe
Developed and integrated advanced data ingestion and predictive analytics features for the blackSwanCS/Higgs_collaboration_B repository, focusing on scalable analytics pipelines and robust statistical workflows. Leveraged Python and Jupyter Notebook to load datasets into DataFrames, prepare them for analysis, and embed machine learning models directly into the statistical analysis process. Expanded the framework to support AMS threshold scanning, mu calculations with systematics, and binned likelihood methods, enhancing experimental reproducibility and data-driven decision making. Utilized libraries such as NumPy, SciPy, and Matplotlib to enable comprehensive data visualization and numerical computing, resulting in a more extensible and maintainable scientific computing environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
2
Lines of code
1,781
Activity Months1
Your Network
41 peopleShared Repositories
21
Work History
June 2025
13 Commits • 2 Features
Jun 1, 2025June 2025: Delivered end-to-end enhancements to data ingestion and predictive analytics integration and expanded statistical analysis capabilities to support robust data-driven decision making. The work positioned the project for scalable analytics pipelines, improved model integration within the statistical workflow, and stronger experimental reproducibility.
13 Commits • 2 Features
Jun 1, 2025June 2025: Delivered end-to-end enhancements to data ingestion and predictive analytics integration and expanded statistical analysis capabilities to support robust data-driven decision making. The work positioned the project for scalable analytics pipelines, improved model integration within the statistical workflow, and stronger experimental reproducibility.
June 2025
Activity
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Quality Metrics
Correctness77.8%
Maintainability78.4%
Architecture74.6%
Performance64.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data AnalysisData Analysis SetupData LoadingData VisualizationMachine LearningMachine Learning IntegrationMatplotlibNumPyNumerical ComputingPythonSciPyScientific ComputingStatistical AnalysisStatistical ModelingiMinuit
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