Insight-Sogang-Univ/insight-13th
May 2025 – Jun 2025
2 Months active
Languages Used
Jupyter NotebookPythonSQL
Technical Skills
Association Rule MiningCatBoostCollaborative FilteringData AnalysisData CleaningData Preprocessing
ba2slk
PROFILE
Ba2slk
Over two months, contributed to the Insight-Sogang-Univ/insight-13th repository by delivering end-to-end data science solutions across HR analytics, recommendation systems, market analytics, deep learning, NLP, and time series forecasting. Developed ensemble models for employee leave prediction, collaborative filtering-based recommendation engines, and association rule mining for market basket analysis, leveraging Python, Scikit-learn, and CatBoost. Built deep learning pipelines for MNIST classification and LSTM-based electricity forecasting using PyTorch and Jupyter Notebook. Emphasized reproducibility and robust evaluation through automated preprocessing, feature engineering, and statistical testing, enabling actionable insights and data-driven decision-making for stakeholders in diverse business and research domains.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
6
Lines of code
24,668
Activity Months2
Your Network
28 peopleShared Repositories
28
Work History
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 performance summary focused on delivering an end-to-end Time Series Analysis and Forecasting Toolkit for electricity data in Insight-Sogang-Univ/insight-13th. The work emphasized reproducibility, robust statistics, and a PyTorch-based forecasting pipeline, enabling data-driven energy insights for stakeholders.
2 Commits • 1 Features
Jun 1, 2025June 2025 performance summary focused on delivering an end-to-end Time Series Analysis and Forecasting Toolkit for electricity data in Insight-Sogang-Univ/insight-13th. The work emphasized reproducibility, robust statistics, and a PyTorch-based forecasting pipeline, enabling data-driven energy insights for stakeholders.
June 2025
May 2025
6 Commits • 5 Features
May 1, 2025May 2025 monthly summary for Insight-Sogang-Univ/insight-13th. Delivered a cohesive set of end-to-end data science enhancements spanning HR analytics, recommendations, market analytics, DL coursework, and NLP preprocessing. No major bugs reported this month; focus was on feature delivery, model robustness, and reproducible pipelines. Business value was reinforced through improved forecasting, data-driven recommendations, and actionable insights across multiple domains, backed by solid technical execution and cross-domain tooling.
May 2025
6 Commits • 5 Features
May 1, 2025May 2025 monthly summary for Insight-Sogang-Univ/insight-13th. Delivered a cohesive set of end-to-end data science enhancements spanning HR analytics, recommendations, market analytics, DL coursework, and NLP preprocessing. No major bugs reported this month; focus was on feature delivery, model robustness, and reproducible pipelines. Business value was reinforced through improved forecasting, data-driven recommendations, and actionable insights across multiple domains, backed by solid technical execution and cross-domain tooling.
Activity
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Quality Metrics
Correctness78.8%
Maintainability77.6%
Architecture77.6%
Performance72.6%
AI Usage22.6%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonSQL
Technical Skills
ADF TestAssociation Rule MiningCatBoostCollaborative FilteringData AnalysisData CleaningData DecompositionData PreprocessingData ScienceData VisualizationDeep LearningDifferencingEnsemble MethodsFeature EngineeringHyperparameter Tuning
Repositories Contributed To
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