Insight-Sogang-Univ/insight-13th
May 2025 – May 2025
1 Month active
Languages Used
Jupyter NotebookPythonSQL
Technical Skills
Association Rule MiningBag of WordsCatBoostClassificationCollaborative FilteringCosine Similarity
gaeun011225
PROFILE
Gaeun011225
Contributed to the Insight-Sogang-Univ/insight-13th repository by delivering four end-to-end features focused on data-driven employee analytics, personalized recommendations, and transactional analysis. Developed machine learning workflows for employee data using Python and Jupyter Notebook, applying classification models with ensemble methods and hyperparameter tuning. Built a collaborative filtering system for personalized chicken dish recommendations and implemented association rule mining with Apriori and FP-Growth to extract actionable insights from customer transactions. Completed deep learning and NLP coursework, including a PyTorch-based MNIST classifier and text vectorization with Bag of Words and Word2Vec, demonstrating a comprehensive approach to applied data science solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
4
Lines of code
21,811
Activity Months1
Your Network
1159 peopleShared Repositories
28
Work History
May 2025
6 Commits • 4 Features
May 1, 2025May 2025: Delivered four end-to-end features in Insight-Sogang-Univ/insight-13th, focusing on data-driven employee insights, personalized recommendations, and transactional analytics, with coursework-driven demonstrations of ML/NLP capabilities. Business value: enhanced hiring analytics, improved customer experience through recommendations, and data-backed sales insights. Technical achievements include end-to-end ML pipelines, collaborative filtering, association rule mining, PyTorch-based MNIST, and NLP preprocessing with BoW/TF-IDF and Word2Vec; demonstrated ensemble methods and hyperparameter tuning for robust models. No critical bugs fixed this month.
6 Commits • 4 Features
May 1, 2025May 2025: Delivered four end-to-end features in Insight-Sogang-Univ/insight-13th, focusing on data-driven employee insights, personalized recommendations, and transactional analytics, with coursework-driven demonstrations of ML/NLP capabilities. Business value: enhanced hiring analytics, improved customer experience through recommendations, and data-backed sales insights. Technical achievements include end-to-end ML pipelines, collaborative filtering, association rule mining, PyTorch-based MNIST, and NLP preprocessing with BoW/TF-IDF and Word2Vec; demonstrated ensemble methods and hyperparameter tuning for robust models. No critical bugs fixed this month.
May 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability76.6%
Architecture76.6%
Performance71.6%
AI Usage33.4%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonSQL
Technical Skills
Association Rule MiningBag of WordsCatBoostClassificationCollaborative FilteringCosine SimilarityData AnalysisData PreprocessingData ScienceDeep LearningEnsemble MethodsFeature EngineeringHyperparameter TuningLightGBMMLxtend
Repositories Contributed To
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