Insight-Sogang-Univ/insight-13th
Mar 2025 – May 2025
3 Months active
Languages Used
Jupyter NotebookPythonGit IgnoreSQLgitignore
Technical Skills
BinningBoolean IndexingClassificationData AggregationData AnalysisData Cleaning
yseo17
PROFILE
Yseo17
Sally contributed to the Insight-Sogang-Univ/insight-13th repository by developing end-to-end machine learning pipelines and data analytics notebooks over a three-month period. She engineered workflows for tasks such as house price prediction, employee leave forecasting, and collaborative filtering-based recommendation systems, applying Python, Pandas, and Scikit-learn throughout. Her approach emphasized reproducibility and educational clarity, with thorough preprocessing, feature engineering, and model evaluation steps. Sally also explored advanced topics including association rule mining with Apriori and FP-Growth, and natural language processing using BERT and GPT. Her work demonstrated depth in both classical and modern ML, supporting robust analytics and practical learning outcomes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
20Total
Bugs
0
Commits
20
Features
10
Lines of code
98,515
Activity Months3
Your Network
1029 people
Work History
May 2025
13 Commits • 5 Features
May 1, 2025May 2025 monthly delivery for Insight-Sogang-Univ/insight-13th focused on end-to-end ML pipelines, collaborative filtering experiments, and data mining techniques, with strong repo hygiene and notebooks ready for evaluation.
13 Commits • 5 Features
May 1, 2025May 2025 monthly delivery for Insight-Sogang-Univ/insight-13th focused on end-to-end ML pipelines, collaborative filtering experiments, and data mining techniques, with strong repo hygiene and notebooks ready for evaluation.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Insight-Sogang-Univ/insight-13th: Delivered two ML notebooks focusing on clustering analysis and Titanic classification, enabling hands-on ML experimentation and learning. The work covers data preprocessing, feature engineering, model training, and evaluation across multiple models (Logistic Regression, Decision Tree, SVM, kNN), with documentation and reproducibility baked in. Commit reference included for traceability (d021a0014a03bd43b937fc1746e03bf6de57a3c4).
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Insight-Sogang-Univ/insight-13th: Delivered two ML notebooks focusing on clustering analysis and Titanic classification, enabling hands-on ML experimentation and learning. The work covers data preprocessing, feature engineering, model training, and evaluation across multiple models (Logistic Regression, Decision Tree, SVM, kNN), with documentation and reproducibility baked in. Commit reference included for traceability (d021a0014a03bd43b937fc1746e03bf6de57a3c4).
March 2025
6 Commits • 4 Features
Mar 1, 2025Concise monthly summary for 2025-03 focused on the Insight-Sogang-Univ/insight-13th repository. Delivered end-to-end data analytics and ML notebook work across four sessions, including data extraction, preprocessing, feature engineering, visualization, and predictive modeling. Improvements in reproducibility, learner readiness, and data quality; business value demonstrated through actionable insights and robust analytics capabilities.
6 Commits • 4 Features
Mar 1, 2025Concise monthly summary for 2025-03 focused on the Insight-Sogang-Univ/insight-13th repository. Delivered end-to-end data analytics and ML notebook work across four sessions, including data extraction, preprocessing, feature engineering, visualization, and predictive modeling. Improvements in reproducibility, learner readiness, and data quality; business value demonstrated through actionable insights and robust analytics capabilities.
March 2025
Activity
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Quality Metrics
Correctness82.4%
Maintainability81.0%
Architecture82.0%
Performance74.0%
AI Usage27.0%
Skills & Technologies
Programming Languages
Git IgnoreJupyter NotebookPythonSQLgitignore
Technical Skills
Apriori AlgorithmAssociation Rule MiningBERTBag of Words (BoW)BinningBoolean IndexingCatBoostClassificationClusteringCollaborative FilteringCosine SimilarityCountVectorizerData AggregationData AnalysisData Cleaning
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