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This project analyzes pizza sales data to gain insights into customer behavior and revenue patterns. Key analyses include customer insights, popular pizza types and sizes, revenue generation, and order trends. The findings help optimize menu offerings, staffing, and marketing strategies to boost overall business performance.
# SQL Music Store Project This repository contains the SQL scripts and related files for the Music Store project. The Music Store The database schema includes tables for storing information about.
Transforming banking operations with MySQL Bank Management System: robust schema, advanced queries, views, and security measures ensure efficiency and data integrity. Ready to revolutionize the industry.
This repository contains SQL analysis of a digital music store. This project guides you through writing SQL queries to extract meaningful information. Whether you're new to SQL or looking to sharpen your skills, this project provides a hands-on learning experience, helping you become proficient in data analysis.
I've tackled intermediate-level SQL questions based on a real Olympic history dataset from Kaggle. These questions were generated by Tech TFQ. I've attempted to solve them using my own methods.
Hospital Database Management System (DBMS) is a comprehensive SQL project designed to streamline and optimize the management of hospital operations. This project aims to provide an efficient and user-friendly solution for storing, retrieving, and manipulating various types of healthcare-related data.
This repository contains SQL queries analyzing a dataset from the Golden Age of Video Games. With eight tasks fulfilled, explore trends in genres, regional sales, and more for insightful insights into this iconic era of gaming.
This project is executed with various SQL tasks for Instagram. I found the five oldest users, identified inactive users, declared a contest winner, researched popular hashtags, and suggested the best day for ad campaigns. For investors, I calculated user engagement metrics and flagged potential bot accounts.
This project involves analyzing job review patterns, calculating throughput averages, and examining language usage in the first case. In the second case, it is focused on actively assessing user engagement, growth, retention, device-based engagement, and email engagement.
This SQL project analyzes employee work efficiency, fraud levels, sector-specific fraud analysis, capacity assessment, gender distribution, and average salaries by country and age range.