
During March 2025, 21pt13@psgtech.ac.in developed a Data Cube Generator Script for the TCS-2021/Data-Mining-Project repository, enabling users to create multi-dimensional data cubes from CSV uploads. Leveraging Python, Pandas, and Streamlit, they implemented logic to define dimensions and measures, producing both dimension and fact tables with a basic web interface for interaction. To improve long-term maintainability, they reorganized the codebase by restructuring folders and relocating datasets, enhancing project clarity without altering functionality. The work demonstrated solid application of data modeling and ETL skills, focusing on foundational engineering and maintainable project structure rather than breadth or bug resolution.

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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