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
During January 2025, Halley1116 developed a comprehensive health insurance data analysis notebook for the 2025_DA_study repository, focusing on end-to-end data loading, exploratory data analysis, and preprocessing. Using Python, Pandas, and Jupyter Notebook, Halley1116 implemented robust missing-value handling by filling medical history fields with 'No History' to preserve data quality. The work included one-hot encoding of categorical features to support downstream analysis. Additionally, Halley1116 consolidated project documentation, standardized naming conventions, and removed obsolete files, improving maintainability and onboarding for new contributors. The depth of work emphasized reproducibility, clear project structure, and traceable feature development throughout the repository.
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
1010 people
Work 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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