Data Analytics project using Tableau to analyze Amazon product pricing patterns, discount trends, and customer rating distribution. Built interactive dashboards with KPIs, filters, and visual insights for business decision-making.
A comprehensive data science project analyzing 20,000+ e-commerce customer ratings and reviews. Demonstrates end-to-end analytics from data cleaning to business insights, revealing key patterns in customer behavior, product performance, and rating trends.
SQL-based analysis of smartphone sales data to extract insights on pricing, discounts, ratings, and features for business decision-making.
Target product reviews data extractor
This project analyzes Netflix's content library using SQL. It explores content type distribution, rating trends, country-wise content availability, and genre classification to extract meaningful insights from Netflix data for better analysis.
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