
Mary Bang developed and maintained curriculum assets for the CUAI-CAU/2025_Basic_Track_Assignment repository over three months, focusing on data science education. She created Jupyter notebooks covering data analysis, preprocessing, and machine learning workflows using Python, NumPy, and scikit-learn, enabling hands-on practice with core concepts. Her work included implementing dimensionality reduction techniques such as PCA, LDA, and SVD, as well as a stacking ensemble pipeline for model evaluation. Mary also packaged and distributed course materials to streamline onboarding and offline access. The engineering work demonstrated depth in both technical content and repository hygiene, supporting reproducibility and maintainability for learners and instructors.

May 2025 performance summary for CUAI-CAU/2025_Basic_Track_Assignment: Delivered feature-rich notebooks and a presentation asset to support rapid experimentation, stakeholder communication, and decision-making. No major bugs fixed this month.
May 2025 performance summary for CUAI-CAU/2025_Basic_Track_Assignment: Delivered feature-rich notebooks and a presentation asset to support rapid experimentation, stakeholder communication, and decision-making. No major bugs fixed this month.
April 2025 monthly summary for CUAI-CAU/2025_Basic_Track_Assignment: Focused on packaging and distributing course materials. Delivered two new zip-based assets with no code changes. No major bugs fixed this period. Assets enable streamlined curriculum distribution and offline access, improving instructor onboarding and learner readiness.
April 2025 monthly summary for CUAI-CAU/2025_Basic_Track_Assignment: Focused on packaging and distributing course materials. Delivered two new zip-based assets with no code changes. No major bugs fixed this period. Assets enable streamlined curriculum distribution and offline access, improving instructor onboarding and learner readiness.
March 2025 Monthly Performance Summary for CUAI-CAU/2025_Basic_Track_Assignment: Delivered core notebook-based curriculum enhancements and repository hygiene that directly support learner onboarding and ongoing maintainability. Focused on data analysis fundamentals, ML workflow concepts, and asset provisioning for Kaggle coursework.
March 2025 Monthly Performance Summary for CUAI-CAU/2025_Basic_Track_Assignment: Delivered core notebook-based curriculum enhancements and repository hygiene that directly support learner onboarding and ongoing maintainability. Focused on data analysis fundamentals, ML workflow concepts, and asset provisioning for Kaggle coursework.
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