blackSwanCS/Higgs_collaboration_B
Jun 2025 – Jun 2025
1 Month active
Languages Used
Python
Technical Skills
Data PreprocessingData VisualizationHyperparameter TuningMachine LearningModel DeploymentModel Evaluation
Mougin Lucie
PROFILE
Mougin Lucie
Developed end-to-end machine learning workflow capabilities for the Higgs_collaboration_B repository, focusing on reusable components and streamlined experimentation. Built a Boosted Decision Tree training notebook and integrated a PretrainedModel loader to facilitate loading and prediction with pretrained models. Enhanced model training by exposing XGBoost hyperparameters and introduced a significance curve visualization to support validation and prediction analysis. Leveraged Python for data preprocessing, model evaluation, and deployment tasks, structuring assets to enable scalable experimentation in future development cycles. The work emphasized modularity and business value, providing a foundation for efficient model training and evaluation without addressing bug fixes during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
66
Activity Months1
Your Network
41 peopleShared Repositories
21
Work History
June 2025
6 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for Higgs_collaboration_B (blackSwanCS). Focused on delivering end-to-end ML workflow capabilities and enhanced model training tools, with emphasis on business value through reusable components and faster experimentation cycles.
6 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for Higgs_collaboration_B (blackSwanCS). Focused on delivering end-to-end ML workflow capabilities and enhanced model training tools, with emphasis on business value through reusable components and faster experimentation cycles.
June 2025
Activity
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Quality Metrics
Correctness76.6%
Maintainability76.6%
Architecture76.6%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data PreprocessingData VisualizationHyperparameter TuningMachine LearningModel DeploymentModel EvaluationModel Training
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