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
Over a two-month period, contributed to the racousin/data_science_practice_2025 repository by delivering eight features and resolving a critical bug. Developed end-to-end machine learning workflows, including a house price prediction model and a YOLOv8-based boat detection pipeline, emphasizing reproducibility and data portability. Implemented data preprocessing pipelines, cross-validation frameworks, and custom evaluation metrics using Python, Jupyter Notebooks, and Scikit-learn. Enhanced model performance through data augmentation, hyperparameter tuning, and improved training pipelines. Refactored data loading for portability and created a custom Python package for numeric operations. Work demonstrated depth in data science, computer vision, and robust software development practices.
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 peopleShared Repositories
22
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
Overview of all repositories you've contributed to across your timeline