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Mougin Lucie

PROFILE

Mougin Lucie

Lucie Mougin developed end-to-end machine learning workflow capabilities for the blackSwanCS/Higgs_collaboration_B repository, focusing on reusable components and streamlined experimentation. She implemented a Boosted Decision Tree training notebook and introduced a loader for pretrained models, enabling seamless integration and prediction with existing assets. Using Python, Lucie enhanced model training by exposing XGBoost hyperparameters and added a significance curve visualization to support model validation and evaluation. Her work emphasized data preprocessing, model deployment, and structured asset management, laying the groundwork for scalable experimentation. Over the month, she delivered two features that improved both the technical depth and future extensibility of the project.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

6Total
Bugs
0
Commits
6
Features
2
Lines of code
66
Activity Months1

Work History

June 2025

6 Commits • 2 Features

Jun 1, 2025

June 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.

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

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

blackSwanCS/Higgs_collaboration_B

Jun 2025 Jun 2025
1 Month active

Languages Used

Python

Technical Skills

Data PreprocessingData VisualizationHyperparameter TuningMachine LearningModel DeploymentModel Evaluation

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