A repository containing MySQL queries for my DBS course at NUST

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Welcome to the **SURAKSHA -- Secure Document Query Application**! This powerful tool allows you to securely upload, search, and analyze documents with ease. Built using Streamlit, this app offers an intuitive interface and various features for managing your document queries efficiently.

My SQL practice queries using MySQL Workbench.

Analyzed transactional and engagement data to understand customer purchasing patterns and revenue contribution. Performed segmentation, trend analysis, and repeat purchase evaluation using Python and Excel. Delivered actionable insights and built visual dashboards to support data-driven decision-making.

This repository contains a collection of SQL queries aimed at exploring and analyzing the `dvdrental` database.

Решение мною задач по SQL в учебных целях. Курс Cимулятор SQL.

A complete data analysis project showcasing the end-to-end process of turning raw data into insights. Using Python, SQL, and visualizations, the notebook covers data cleaning, EDA, and business-focused queries on a 3,500-row dataset. Clear, reproducible, and practical for learners and professionals.

This project analyzes a fictional bookstore's operational data using SQL. We explored three core datasets — Books, Customers, and Orders — to extract insights into sales performance, customer behavior, and stock management. The goal is to support data-driven strategies for improving profitability and customer satisfaction.

Walmart Sales Data Analysis

A collection of mini MySQL projects focusing on database design, SQL queries, and real-world use cases. Great for learning, practice, and improving database skills.

These Projects have SQL real-world data analysis with Netflix and Zomato datasets.Worked with complex queries utilizing JOINs, aggregation functions, GROUP BY, subqueries, CTEs, and window functions. Analyzed popular content, cuisine preferences, revenue metrics, and operational performance.

Showcases both SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) skills, including schema design, CRUD operations, query optimization, and backend integration.

MySQL database server and query communication. Intermediate to beginner level queries involving topics like JOIN, SEARCH, WHERE, CASE,

Schema de E-commerce com Queries Complexes