WeT-DS/WeTDS_2025_SPRING
Mar 2025 – Jun 2025
4 Months active
Languages Used
PythonJupyter Notebook
Technical Skills
Data AnalysisData VisualizationMachine LearningMatplotlibPandasScikit-learn
Suyoung Pyo
PROFILE
Suyoung Pyo
Over four months, contributed to the WeT-DS/WeTDS_2025_SPRING repository by developing and delivering six features focused on educational data science workflows and course material management. Built reproducible Jupyter Notebooks for data analysis and machine learning, including a California housing price exploration and an MNIST KNN classifier with data augmentation, leveraging Python, Pandas, and Scikit-learn. Managed assignment resources by organizing and publishing binary PDF homework assets, streamlining student access and supporting curriculum delivery. Emphasized repository hygiene, clear commit traceability, and low-risk asset publishing workflows, ensuring stable, scalable updates without introducing defects or requiring production code changes throughout the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
6
Lines of code
6,667
Activity Months4
Your Network
38 peopleShared Repositories
9
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for WeTDS_2025_SPRING. Key feature delivered: Published Homework #8 PDF to Course Materials (Assignment/8주차) via upload; no code changes were required, demonstrating a low-risk asset publishing workflow. Major bugs fixed: none reported this month. Overall impact and accomplishments: ensured timely access to course materials, improving student experience and curriculum delivery while preserving system stability and minimizing deployment effort. Technologies/skills demonstrated: asset management and upload-based content publishing workflow, version-controlled content handling, and repository integrity practices. Business value: faster curriculum delivery, reduced deployment risk, and scalable content publishing for future updates.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for WeTDS_2025_SPRING. Key feature delivered: Published Homework #8 PDF to Course Materials (Assignment/8주차) via upload; no code changes were required, demonstrating a low-risk asset publishing workflow. Major bugs fixed: none reported this month. Overall impact and accomplishments: ensured timely access to course materials, improving student experience and curriculum delivery while preserving system stability and minimizing deployment effort. Technologies/skills demonstrated: asset management and upload-based content publishing workflow, version-controlled content handling, and repository integrity practices. Business value: faster curriculum delivery, reduced deployment risk, and scalable content publishing for future updates.
June 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary focusing on delivering features and technical accomplishments for WeTDS_2025_SPRING with a focus on business value and student access to materials.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary focusing on delivering features and technical accomplishments for WeTDS_2025_SPRING with a focus on business value and student access to materials.
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for WeT-DS/WeTDS_2025_SPRING. Focused on feature delivery for ML notebook experiments and coursework resources. Key outcomes include a high-performing MNIST KNN classifier with data augmentation and addition of a Homework #4 PDF resource, supporting practical ML exploration and coursework delivery. No major bugs fixed this period; emphasis on business value through improved model baselines and streamlined access to instructional materials.
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for WeT-DS/WeTDS_2025_SPRING. Focused on feature delivery for ML notebook experiments and coursework resources. Key outcomes include a high-performing MNIST KNN classifier with data augmentation and addition of a Homework #4 PDF resource, supporting practical ML exploration and coursework delivery. No major bugs fixed this period; emphasis on business value through improved model baselines and streamlined access to instructional materials.
April 2025
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025: Key accomplishments centered on student resource delivery and reproducible data science content in WeT-DS/WeTDS_2025_SPRING. Implemented two deliverables: a PDF homework resource and a Jupyter Notebook for California housing price data exploration and prep. These assets improve assignment access and provide a ready-to-run workflow for data modeling, with clear commit traceability. No major bugs fixed this month; focus remained on content delivery and repository hygiene.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025: Key accomplishments centered on student resource delivery and reproducible data science content in WeT-DS/WeTDS_2025_SPRING. Implemented two deliverables: a PDF homework resource and a Jupyter Notebook for California housing price data exploration and prep. These assets improve assignment access and provide a ready-to-run workflow for data modeling, with clear commit traceability. No major bugs fixed this month; focus remained on content delivery and repository hygiene.
Activity
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Quality Metrics
Correctness94.2%
Maintainability94.2%
Architecture94.2%
Performance91.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data AnalysisData AugmentationData PreprocessingData VisualizationHyperparameter TuningImage ClassificationKerasMachine LearningMatplotlibPandasScikit-learnTensorFlow
Repositories Contributed To
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