December 2025 monthly summary for Hyubbbb/Daily_SQL: Focused on delivering data accuracy improvements for animal records and strengthening code quality to support scalable analytics. Implemented targeted SQL refinements and code style enhancements that reduce data discrepancies, improve reporting reliability, and lay groundwork for future enhancements.

November 2025 milestone: Implemented and refined the user submission flow for the 오지송 content in Hyubbbb/Daily_SQL, delivering end-to-end submission handling and UX improvements. Achieved significant repo hygiene and UI polish: removed obsolete SQL files, applied targeted style updates (Style #4 and UI style for Issue #5), and reinforced submission reliability through targeted bug fixes (오지송 fixes, issue #3, and #6). These efforts reduce maintenance risk, improve user experience, and enable scalable submission capacity.

September 2025 | Team: team-epoch/EPOCH_4th_TASK Delivered three end-to-end ML workflows with strong emphasis on data handling, reproducibility, and evaluation to drive concrete business value across domains: - Wine quality prediction: KNN-based workflow covering data loading, exploration, preprocessing (missing values handling, scaling), model training, prediction, evaluation, and hyperparameter tuning; notebook creation and cleanup to ensure repeatability. - University loan risk assessment: Data loading, preprocessing, feature engineering, and modeling to classify high-risk universities and assess student loan risk; includes environment setup and data quality checks. - Dating match outcome prediction: XGBoost-based model with data preprocessing, feature engineering, model training, evaluation, and GridSearch tuning.

August 2025 performance summary for team-epoch/EPOCH_4th_TASK focusing on end-to-end Insurance Premium Prediction workflow and repo hygiene. Key outcomes include the delivery of Chapter 04 Linear Regression notebooks and a targeted cleanup to keep the repository focused on current work.