SQL-based analysis of smartphone sales data to extract insights on pricing, discounts, ratings, and features for business decision-making.
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Updated
Aug 27, 2025
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
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.
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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