
Mandali S. developed foundational data exploration and project scaffolding features for the nikbearbrown/INFO_7390_Art_and_Science_of_Data repository. They created a comprehensive Jupyter Notebook to analyze Spotify track data, applying dimensionality reduction techniques to enhance data understanding and reorganizing the project directory for improved clarity and reproducibility. Mandali also established the initial structure for the Recipe Curator GenAI project, including a placeholder dataset to support future AI-driven recommendations. Their work focused on enabling rapid experimentation and smoother onboarding, leveraging Python and data visualization skills to streamline workflows. The contributions provided a solid base for subsequent machine learning development.

December 2024: Delivered foundational data understanding capability and GenAI project scaffolding for Recipe Curator, with targeted improvements to project structure and reproducible workflows, enabling faster data exploration and future AI prototyping. No explicit bug fixes recorded this period.
December 2024: Delivered foundational data understanding capability and GenAI project scaffolding for Recipe Curator, with targeted improvements to project structure and reproducible workflows, enabling faster data exploration and future AI prototyping. No explicit bug fixes recorded this period.
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