KU-BIG/KUBIG_2025_FALL
Jul 2025 – Dec 2025
2 Months active
Languages Used
Jupyter NotebookPythonMarkdown
Technical Skills
CNNComputer VisionData PreprocessingData ScienceData VisualizationDeep Learning
PARK KYUNGGUK
PROFILE
Park Kyungguk
Worked on the KU-BIG/KUBIG_2025_FALL repository, delivering end-to-end machine learning experiments and analytics workflows over two months. Developed comprehensive Jupyter notebooks for image classification using CNNs on MNIST, ResNet-like models, and Vision Transformers on CIFAR-10, emphasizing reproducibility, modular data preprocessing, and detailed model evaluation. Later, refactored the Face_or_Not project within the same repository, streamlining its structure and introducing a new facial analysis notebook to accelerate experimentation and onboarding. All work was implemented in Python and Jupyter Notebook, with a focus on clear documentation, repository hygiene, and enabling rapid, traceable experimentation for computer vision and data science tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
1,092
Activity Months2
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Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for KU-BIG/KUBIG_2025_FALL: Key features delivered include a Face_or_Not project refactor with a new facial analysis notebook, improving modularity and enabling faster experimentation. The refactor removed the README.md from the Face_or_Not directory to reduce clutter and align with the new analytics workflow. Major bugs fixed: none reported this month for this repository. Overall impact: improved maintainability, clearer onboarding for analytics work, and a ready-to-use notebook for facial analysis that accelerates business insights from visual data. Technologies/skills demonstrated: Python-based data analysis, Jupyter notebooks, repository hygiene, commit-level traceability, and refactor best practices.
2 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for KU-BIG/KUBIG_2025_FALL: Key features delivered include a Face_or_Not project refactor with a new facial analysis notebook, improving modularity and enabling faster experimentation. The refactor removed the README.md from the Face_or_Not directory to reduce clutter and align with the new analytics workflow. Major bugs fixed: none reported this month for this repository. Overall impact: improved maintainability, clearer onboarding for analytics work, and a ready-to-use notebook for facial analysis that accelerates business insights from visual data. Technologies/skills demonstrated: Python-based data analysis, Jupyter notebooks, repository hygiene, commit-level traceability, and refactor best practices.
December 2025
July 2025
3 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for KU-BIG/KUBIG_2025_FALL. Focused on delivering end-to-end notebook experiments for CNN on MNIST and a ResNet-like approach for CIFAR-10, plus Vision Transformer (ViT) experiments on CIFAR-10. Emphasis on reproducible experiments, data preprocessing, model definitions, training, evaluation, and visualization. Repository activity centered on notebook-based ML experimentation and result logging.
July 2025
3 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for KU-BIG/KUBIG_2025_FALL. Focused on delivering end-to-end notebook experiments for CNN on MNIST and a ResNet-like approach for CIFAR-10, plus Vision Transformer (ViT) experiments on CIFAR-10. Emphasis on reproducible experiments, data preprocessing, model definitions, training, evaluation, and visualization. Repository activity centered on notebook-based ML experimentation and result logging.
Activity
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Quality Metrics
Correctness70.0%
Maintainability74.0%
Architecture70.0%
Performance68.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
CNNComputer VisionData PreprocessingData ScienceData VisualizationDeep LearningImage ClassificationJupyter NotebookModel EvaluationModel TrainingPyTorchResNetTransformer Modelsdata analysisdocumentation management
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