SQL : Optimized queries to identify top-reviewed and high-discount products;
calculated metrics for categories and high ratings, and analyzed user review patterns.
Python : Transformed raw data by standardizing formats; visualized customer
satisfaction trends via rating distributions.
Power BI : Built an interactive dashboard highlighting key metrics (discounts, ratings,
and review counts), with KPIs for category discounts, unique reviewers, and review
statuses.