blackSwanCS/Higgs_collaboration_B
Jun 2025 – Jun 2025
1 Month active
Languages Used
Python
Technical Skills
Code CleanupData AnalysisMachine LearningScientific ComputingStatistical Modeling
Vandier Louis-Marie
PROFILE
Vandier Louis-marie
During June 2025, work focused on overhauling the statistical analysis framework in the blackSwanCS/Higgs_collaboration_B repository to improve AMS calculation accuracy, threshold optimization, and integration of 1B and 2_b tasks. Using Python and leveraging skills in data analysis and statistical modeling, the developer consolidated updates to the statistical_analysis modules, refined data binning logic, and implemented robust gatekeeping for Task 1A. These changes enhanced the reliability and maintainability of the analytics pipeline, reduced evaluation errors, and enabled faster feedback loops for model tuning. The approach emphasized code cleanup and scientific computing to support long-term stability and performance improvements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
1
Lines of code
264
Activity Months1
Your Network
41 peopleShared Repositories
21
Work History
June 2025
11 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for blackSwanCS/Higgs_collaboration_B. This period centered on a substantial overhaul of the statistical analysis framework to enable more accurate AMS calculations, robust threshold optimization, and integration of 1B/2_b tasks, while gating Task 1A and stabilizing data binning. The work enhances evaluation reliability, accelerates feedback loops for model tuning, and improves maintainability of analytics components.
11 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for blackSwanCS/Higgs_collaboration_B. This period centered on a substantial overhaul of the statistical analysis framework to enable more accurate AMS calculations, robust threshold optimization, and integration of 1B/2_b tasks, while gating Task 1A and stabilizing data binning. The work enhances evaluation reliability, accelerates feedback loops for model tuning, and improves maintainability of analytics components.
June 2025
Activity
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Quality Metrics
Correctness76.4%
Maintainability78.2%
Architecture71.0%
Performance65.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code CleanupData AnalysisMachine LearningScientific ComputingStatistical Modeling
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