halley1116/2025_DA_study
Jan 2025 – Jan 2025
1 Month active
Languages Used
JSONMarkdownPython
Technical Skills
Data AnalysisData PreprocessingDocumentationExploratory Data Analysis (EDA)Jupyter NotebookMatplotlib
SeoHui Kim
PROFILE
Seohui Kim
Developed a comprehensive health insurance data analysis notebook within the halley1116/2025_DA_study repository, focusing on building an end-to-end data pipeline using Python, Pandas, and Jupyter Notebook. The work included data loading, exploratory data analysis, preprocessing, and one-hot encoding of categorical variables, with robust handling of missing values in medical history fields to ensure analytical integrity. Enhanced project maintainability by consolidating documentation, standardizing naming conventions, and removing obsolete files, which improved onboarding and reproducibility for future contributors. All changes were structured for traceability, emphasizing data quality and business value while supporting collaborative development and long-term project sustainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
2
Lines of code
4,650
Activity Months1
Your Network
1140 peopleWork History
January 2025
8 Commits • 2 Features
Jan 1, 2025Monthly summary for 2025-01 for halley1116/2025_DA_study highlighting delivered features and repo improvements, with emphasis on business value, data quality, and reproducibility.
8 Commits • 2 Features
Jan 1, 2025Monthly summary for 2025-01 for halley1116/2025_DA_study highlighting delivered features and repo improvements, with emphasis on business value, data quality, and reproducibility.
January 2025
Activity
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Quality Metrics
Correctness97.6%
Maintainability97.6%
Architecture95.0%
Performance97.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownPython
Technical Skills
Data AnalysisData PreprocessingDocumentationExploratory Data Analysis (EDA)Jupyter NotebookMatplotlibPandasProject ManagementPython ProgrammingSeaborn
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