
Developed foundational data analysis and AI project scaffolding within the nikbearbrown/INFO_7390_Art_and_Science_of_Data repository, focusing on enabling reproducible workflows and rapid experimentation. Delivered a comprehensive Jupyter Notebook for exploring Spotify track data, applying dimensionality reduction techniques to enhance data understanding and reorganizing the project directory for improved clarity. Established the initial structure for the Recipe Curator GenAI project, including dataset placeholders to support future AI-driven recommendations. Leveraged Python, data visualization, and machine learning skills to streamline onboarding and facilitate future prototyping. The work emphasized maintainable project organization and laid the groundwork for scalable data exploration in subsequent development cycles.
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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