halley1116/2025_DA_study
Jan 2025 – Jan 2025
1 Month active
Languages Used
PythonSQL
Technical Skills
Data AnalysisData MergingData PreprocessingData VisualizationExploratory Data Analysis (EDA)Jupyter Notebook
sihyun83
PROFILE
Sihyun83
Developed two end-to-end analytics notebooks in the halley1116/2025_DA_study repository, focusing on data-driven pricing and churn analysis. Leveraged Python, Pandas, and Scikit-learn to implement robust data loading, preprocessing, and exploratory data analysis workflows. The insurance analytics notebook established a reproducible pipeline for examining BMI and smoking impacts on charges, including linear and ridge regression modeling for pricing insights. The churn analysis notebook provided initial data merging and visualization foundations for customer retention studies. All work emphasized clear documentation and reproducibility, enabling rapid experimentation and structured project artifacts to support informed business decisions and future analytics development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
8,869
Activity Months1
Your Network
1140 peopleWork History
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 (2025-01): Delivered two end-to-end analytics notebooks in halley1116/2025_DA_study to enable data-driven pricing and churn insights. Implemented robust data loading, preprocessing, EDA, and modeling foundations with clear traceability, setting up reproducible assets for rapid experimentation and informed business decisions.
2 Commits • 2 Features
Jan 1, 2025January 2025 (2025-01): Delivered two end-to-end analytics notebooks in halley1116/2025_DA_study to enable data-driven pricing and churn insights. Implemented robust data loading, preprocessing, EDA, and modeling foundations with clear traceability, setting up reproducible assets for rapid experimentation and informed business decisions.
January 2025
Activity
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Quality Metrics
Correctness70.0%
Maintainability70.0%
Architecture60.0%
Performance60.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
Data AnalysisData MergingData PreprocessingData VisualizationExploratory Data Analysis (EDA)Jupyter NotebookMatplotlibPandasScikit-learnSeaborn
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