racousin/data_science_practice_2025
Sep 2025 – Oct 2025
2 Months active
Languages Used
Jupyter NotebookPythonSQLTOMLShell
Technical Skills
API IntegrationBeautifulSoupData CleaningData CollectionData PreprocessingData Science
hugojava
PROFILE
Hugojava
Hugo Bouton developed end-to-end data science and computer vision solutions in the racousin/data_science_practice_2025 repository over two months. He built a house price prediction pipeline and a YOLOv8-based boat detection workflow, applying Python, Pandas, and deep learning frameworks. His work included data preprocessing pipelines, cross-validation with custom metrics, and regression benchmarking, addressing both structured and unstructured data challenges. Hugo improved reproducibility by refactoring data loading for portability and created a custom Python package for numeric operations. He also fixed critical notebook execution bugs, demonstrating attention to reliability and iterative refinement across modules, with a focus on maintainable, reusable code.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
19Total
Bugs
1
Commits
19
Features
8
Lines of code
21,589
Activity Months2
Your Network
22 people
Work History
October 2025
12 Commits • 2 Features
Oct 1, 2025October 2025 performance summary: Delivered end-to-end YOLOv8 boat detection workflow and a regression benchmarking framework for data science practice, with targeted bug fixes and parameter tuning to improve reliability and performance.
12 Commits • 2 Features
Oct 1, 2025October 2025 performance summary: Delivered end-to-end YOLOv8 boat detection workflow and a regression benchmarking framework for data science practice, with targeted bug fixes and parameter tuning to improve reliability and performance.
October 2025
September 2025
7 Commits • 6 Features
Sep 1, 2025September 2025 performance summary for racousin/data_science_practice_2025. Delivered end-to-end data science features across modules 1–5, fixed a critical notebook execution bug, and improved data portability and tooling to enhance reproducibility and business value.
September 2025
7 Commits • 6 Features
Sep 1, 2025September 2025 performance summary for racousin/data_science_practice_2025. Delivered end-to-end data science features across modules 1–5, fixed a critical notebook execution bug, and improved data portability and tooling to enhance reproducibility and business value.
Activity
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Quality Metrics
Correctness81.0%
Maintainability81.0%
Architecture80.0%
Performance69.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonSQLShellTOML
Technical Skills
API IntegrationBeautifulSoupComputer VisionCross-validationData AnalysisData AugmentationData CleaningData CollectionData PreprocessingData ScienceDeep LearningFile HandlingHyperparameter TuningJupyter NotebookJupyter Notebooks
Repositories Contributed To
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