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Sri Poojitha Mandali

PROFILE

Sri Poojitha Mandali

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.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
2
Lines of code
1,067,671
Activity Months1

Work History

December 2024

3 Commits • 2 Features

Dec 1, 2024

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.

Activity

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Quality Metrics

Correctness66.6%
Maintainability66.6%
Architecture66.6%
Performance66.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

Jupyter NotebookPython

Technical Skills

Data AnalysisData VisualizationDimensionality ReductionMachine Learning

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

nikbearbrown/INFO_7390_Art_and_Science_of_Data

Dec 2024 Dec 2024
1 Month active

Languages Used

Jupyter NotebookPython

Technical Skills

Data AnalysisData VisualizationDimensionality ReductionMachine Learning

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