Advanced Sql Interview Questions that covers topics like CTE, Analytics Window Functions, Aggregation Functions, Subqueries these topics will help you to boost your interview questions

Faasos (now Rebel Foods) is a popular Indian food delivery company. It started as a restaurant chain, then shifted online. They offer affordable meals, diverse cuisines, and efficient delivery. Rebel Foods operates multiple brands, using technology to enhance the food delivery experience.

To get acquaintance of me

Documenting and applying advanced SQL techniques for filtering, transforming, summary stats and reporting on data

sql data analytics project for exploring and analyzing relational data—check tables, calculate metrics, spot trends, and create segments. Ideal for analysts and BI users: run the examples, learn the patterns, and adapt queries to your own database.

Structured practice and projects to master SQL from basics to advanced.

Advanced SQL project focused on data-driven decision making.

My-sql practice questions according to topic wise and interview questions

Analytical SQL on a 3-year retail dataset — window functions, cohort retention & RFM, with a runnable SQLite database.

This is a repository for ORACLE-SQL-DB which has dataa on the tests i worked on to manipulate databases using SQL-Server.

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.

SQL (Structured Query Language) is the standard language for managing and querying relational databases. It allows you to define structures, insert and update records, join tables, aggregate data, and build complex reports. Mastering SQL is essential for data analysis, reporting, and backend development.

Analyzing 300K Indian airline ticket records to uncover pricing patterns, booking trends and route economics using MySQL

In this project,12 tables used to answer many questions about datas from easy level to advance level.Join,temporary tables,CTE and window functions are used.

Contained course material about advance MySQL function.

Advanced SQL project analyzing over 20,000 sales records from an Amazon-like e-commerce platform. Focuses on customer behavior, product performance, and sales trends using PostgreSQL. Includes data cleaning, revenue analysis, inventory management, and an ERD diagram to visualize database schema.

A curated collection of SQL scripts for data exploration, analytics, and reporting. Includes practical queries for database exploration, KPI and metric calculations, time-series analysis, cumulative analytics, customer segmentation, trend analysis, and business reporting to help generate actionable insights from relational databases.

SQL analytics project on Swiggy restaurant data using CTEs, Window Functions, DENSE_RANK, NTILE, and Aggregations to analyze restaurant performance, customer engagement, pricing trends, and city-wise business insights.