Exploring Google Play Store apps dataset to identify key factors for app engagement and success, revealing correlations between reviews, installs, categories, ratings, and user preferences.

Our project, based on the data of hundreds of the most popular channels from dozens of different categories, provides a system for our youtuber friends who will be new to the youtube adventure, where they can get category analysis and recommendations.

Exploring Google Play Store apps dataset to identify key factors for app engagement and success, revealing correlations between reviews, installs, categories, ratings, and user preferences.

A PostgreSQL project exploring Zepto’s product inventory - cleaning and analyzing data to find category trends, top discounts, out-of-stock high-MRP items, and category-wise revenue.

This project features a comprehensive Excel dashboard designed to provide an insightful overview of the Vrinda Store Sales performance. It is organized to display data interactively across multiple dimensions: