advance-sql

FitCore is a cross-platform fitness app that offers AI-generated personalised meal plans and premium workout videos. The backend will be built using Django & Django REST Framework to serve as a robust API-driven system for both Android and ios clients.

This project leverages advanced SQL queries to analyze and optimize an e-commerce platform's supply chain operations. It addresses key challenges like transaction analysis, customer segmentation, shipping efficiency, and order cancellation trends, providing actionable insights for enhancing operational performance and customer satisfaction.

This is a Repo of my SQL Query Practice each day one interview question!👩‍💻

About Advanced SQL project analyzing e-commerce sales using joins, CTEs, and window functions. Includes sample data (CSV) and queries with business insights.

SQl_analysis_practice over dataset

Advanced SQL project analyzing e-commerce sales using joins, CTEs, and window functions. Includes sample data (CSV) and queries with business insights.

Enterprise SQL Analytics Platform built with PostgreSQL featuring 16 schemas, 55+ tables, 50+ analytical views, 13 materialized views, automated JSON exports, business alerts, and an interactive dashboard.

The "Harnessing SQL for Sales Insights and Improvement" project involved comprehensive analysis of sales data extracted from SQL Server, imported into MySQL for data preparation, cleaning, normalization, and in-depth analysis using various SQL commands and functions.

A beginner-friendly repository containing well-structured SQL notes, examples, and explanations to help students and developers understand Structured Query Language (SQL) concepts from scratch.

💻 Completed HackerRank Advanced SQL Test

End-to-end SQL project analyzing job market trends, salaries, experience requirements, companies and locations using MySQL.

Advanced SQL project analyzing e-commerce sales using joins, CTEs, and window functions. Includes sample data (CSV) and queries with business insights.

SQL Beginner to Intermediate project analyzing Future Jobs dataset using MySQL

Transforming transactional volume into sustainable financial yield using SQL and Tableau.

Welcome to my SQL interview preparation repository! This repo are a collection of common SQL questions and theoretical concepts that are frequently asked in Data Science & Analytics interviews!

SQL for effective data analysis use for ad hoc querying, data cleaning and reporting with advance techniques.

Restaurant & Consumer Data Analysis using SQL and MySQL | Relational Database Design | Advanced SQL