May 2025 performance summary focused on release readiness, project scaffolding, and ML experimentation across two repositories. Delivered packaged release assets, foundational AI project artifacts, and a prototype recommendation model, driving business value through faster deployment, improved onboarding, and exploration of personalization. Key outcomes: - Complete product asset release for MiniProject2_ID_201B_2024-25, including documentation and frontend binaries (Mini_Report_2.docx, retailedge ver1.0.1.docx, Self-Checkout-App-FE-main.zip). - AI_AI101B_2024-25: AI chatbot project scaffolding and documentation with initial README and artifacts zip under AI GD - 12 directory. - AI_AI101B_2024-25: Product recommendation prototype using SVD implemented in a Jupyter Notebook, covering data loading, preprocessing, and similarity-based recommendations. Major bugs fixed: - None reported in May 2025. Overall impact and accomplishments: - Improved release readiness and developer onboarding through comprehensive asset packaging and documentation. - Established foundational AI project infrastructure to accelerate future AI-driven features. - Demonstrated data engineering, exploratory ML, and model evaluation skills with practical artifacts. Technologies/skills demonstrated: - Release engineering and asset management (two repos), documentation, and README creation. - Jupyter-based data science workflow, data preprocessing, and SVD-based recommendations. - Project scaffolding, artifact packaging, and cross-repo collaboration.

April 2025 Monthly Summary for kietmcaproject/AI_AI101B_2024-25: Focused on delivering a Weather Data Analysis AI Project Setup, provisioning dataset and documentation, and establishing reproducible analytics groundwork. No major bug fixes recorded this month; the emphasis was on feature delivery and documentation to accelerate analytics and future AI model development. Key deliverables include CSV dataset, slides, and project report.