blackSwanCS/Higgs_collaboration_B
Jun 2025 – Jun 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data ScienceLightGBMMachine LearningNumPyPandasPython
aymen
PROFILE
Aymen
Aymen Awainia focused on stabilizing the Higgs_collaboration_B pipeline by addressing two critical bugs affecting model reliability. Working primarily in Python and Jupyter Notebook, Aymen resolved integration issues with LightGBM by refining fit argument handling and ensuring test data was consistently formatted as NumPy arrays, which reduced crashes and input-type errors. Additionally, Aymen corrected the fit_submission flow in the HiggsML training and prediction pipeline, eliminating a ValueError and improving end-to-end reliability. This work enhanced data handling and pipeline sequencing, resulting in more dependable experiments and smoother deployment. The contributions demonstrated depth in data science and machine learning engineering.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
3Total
Bugs
2
Commits
3
Features
0
Lines of code
1,372
Activity Months1
Your Network
41 people
Work History
June 2025
3 Commits
Jun 1, 2025June 2025: Focused on stabilizing the Higgs_collaboration_B pipeline by fixing critical LightGBM integration issues and the HiggsML training/predictor flow. Delivered robust data handling, reduced crashes and input-type errors, and improved reliability for model deployment.
3 Commits
Jun 1, 2025June 2025: Focused on stabilizing the Higgs_collaboration_B pipeline by fixing critical LightGBM integration issues and the HiggsML training/predictor flow. Delivered robust data handling, reduced crashes and input-type errors, and improved reliability for model deployment.
June 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture60.0%
Performance60.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data ScienceLightGBMMachine LearningNumPyPandasPython
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