
Contributed to the Insight-Sogang-Univ/insight-14th repository by developing robust data preprocessing pipelines and educational resources focused on classification tasks. Delivered retail data preparation workflows that included data cleaning, missing value handling, outlier detection and removal, and categorical variable transformation using Label Encoding and One-Hot Encoding, all implemented in Python and Jupyter Notebook with Pandas and Scikit-learn. Created reusable notebook templates for classification practice, including a Titanic assignment that covers theory, preprocessing, and model training. The work emphasized reproducibility and onboarding efficiency, establishing foundational materials and pipelines to streamline future modeling efforts and support data science education within the project.
Month: 2025-09. This period centers on delivering robust data preparation capabilities and educational resources for the Insight-Sogang-Univ/insight-14th project, with no major bugs fixed reported.
Month: 2025-09. This period centers on delivering robust data preparation capabilities and educational resources for the Insight-Sogang-Univ/insight-14th project, with no major bugs fixed reported.

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