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, Seoyoung Yoo developed and maintained educational data science resources in the WeT-DS/WeTDS_2025_SPRING repository, focusing on reproducible workflows and streamlined student access. She delivered Jupyter Notebooks and PDF assignments covering topics such as California housing price analysis and MNIST image classification, employing Python, Pandas, and Scikit-learn for data preprocessing, visualization, and machine learning experiments. Her work emphasized asset management and version-controlled content delivery, enabling rapid curriculum updates without production code changes. By organizing materials for weekly coursework and implementing data augmentation techniques, Seoyoung ensured scalable, accessible, and stable resource distribution, with a focus on repository integrity.
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
36 people
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
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