This project is focused on evaluating vendor effectiveness. An ETL pipeline is employed to load large dataset, data integrity has been ensured by cleaning values and generating new financial metrics and statistical methods like quadrant analysis and hypothesis testing are used to generate insights.
sqlalchemy python-script data-transformation hypothesis-testing chunked-uploads correlation-analysis etl-pipeline descriptive-analysis pareto-chart power-bi-visualizations quantile-analysis two-tail-t-test
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Updated
Jan 24, 2026 - Jupyter Notebook