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, Bss contributed to the Insight-Sogang-Univ/insight-13th repository by developing end-to-end data science solutions spanning HR analytics, recommendation systems, market basket analysis, deep learning coursework, and time series forecasting. Bss engineered ensemble models for employee leave prediction, collaborative filtering for recommendations, and association rule mining for transaction data, leveraging Python, Scikit-learn, and PyTorch. For electricity data, Bss built a reproducible time series toolkit combining STL decomposition, stationarity testing, and an LSTM-based forecasting pipeline. The work demonstrated depth in data preprocessing, feature engineering, and model evaluation, delivering robust, reproducible pipelines that addressed diverse business and analytical needs.
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 people
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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