An advanced analytical extension of the SQL Data Warehouse project focusing on customer profiling, sales segmentation, and product analysis. Built using Gold layer views, this project demonstrates how to extract actionable insights using SQL analysis techniques such as ranking, segmentation, cumulative growth, and time-based comparisons.
SQL-based education analytics project analyzing NYC public school performance, graduation rates, borough-level disparities, and underperforming schools using relational schema design and analytical SQL views.
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