
During September 2025, Hyeonji Baek developed robust data preparation pipelines and educational resources for the Insight-Sogang-Univ/insight-14th repository. She focused on retail data preprocessing and feature engineering, implementing data cleaning, missing-value handling, outlier detection, and categorical variable transformation using Label Encoding and One-Hot Encoding. Leveraging Python, Pandas, and Scikit-learn, she ensured the dataset was ready for downstream modeling tasks. Additionally, Hyeonji created reusable Jupyter Notebook templates for classification practice, including a Titanic assignment that covered theory, preprocessing, and model training. Her work emphasized reproducibility and onboarding, providing a solid foundation for future data science projects.

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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