
Worked on the TCS-2021/Data-Mining-Project repository, delivering a Python-based Data Cube Generator Script that enables users to create multi-dimensional data cubes from uploaded CSV files. The solution defined dimensions and measures, producing both dimension tables and a fact table, and included a Streamlit user interface with basic styling for accessibility. To enhance long-term maintainability and streamline onboarding, the codebase structure was reorganized by refactoring folder hierarchies and relocating datasets without altering existing functionality. The work demonstrated practical application of data modeling, data warehousing, and ETL concepts, leveraging Python, SQL, and Pandas to support robust data analysis workflows.
Monthly performance summary for 2025-03 focused on delivering core data modeling capabilities and improving project structure for long-term maintainability.
Monthly performance summary for 2025-03 focused on delivering core data modeling capabilities and improving project structure for long-term maintainability.

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