Sourav Bhattacharya

This project analyzes sales data from Swiggy, one of India’s largest online food delivery platforms. The goal of this project is to transform raw food delivery transaction data into meaningful business insights using SQL.

This project is designed to showcase advanced SQL querying techniques through the analysis of over 1 million rows of Apple retail sales data. The dataset includes information about products, stores, sales transactions, and warranty claims across various Apple retail locations globally. By tackling a variety of questions, from basic to complex, you'll demonstrate your ability to write sophisticated SQL queries the extract valuable insights from large datasets.

This project involves a comprehensive analysis of Netflix's movies and TV shows data using SQL. The goal is to extract valuable insights and answer various business questions based on the dataset. The following README provides a detailed account of the project's objectives, business problems, solutions, findings, and conclusions.

This project presents an interactive Power BI dashboard built to analyze Blinkit's retail sales data. The dashboard provides insights into sales performance, customer preferences, and outlet distribution to support data-driven decision-making.

Supervised construction activities ensuring work was completed as per drawings, quality, and safety standards while managing manpower and materials.

Provided end-user technical support including desktop troubleshooting, LAN cabling, and operating system installation. Assisted users with hardware, software, and network-related issues to ensure smooth daily operations.