This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis.

This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis.

This repository features SQL-based analysis on bike rentals and the NFT market. The bike rental project explores customer trends, peak rental times, and revenue insights, while the NFT case study analyzes sales trends, blockchain transactions, and market dynamics. Built using SQL queries for data cleaning, aggregation, and joins in MySQL.

SQL case studies and exercises from my studies at Mate Academy. This repository contains queries for data analysis, transformations, and optimization, covering topics like joins, window functions, and aggregate queries. A learning journey in SQL for data analytics.

This project analyzes e-commerce order fulfillment using Advanced SQL Techniques and Python-based visualization to uncover insights on sales trends, customer segmentation, shipping cost optimization, and payment preferences.

Using complex SQL queries, including PostgreSQL window functions, to answer specific business questions. Notably using multiple named subqueries, views to extract data from a database to address specific problems.

This repository contains a collection of SQL scripts that demonstrate various analysis techniques, such as change over time, cumulative, performance, data segmentation, part-to-whole analysis.

bunch of SQL Window function query examples

Danny Ma's #8WeekSQLChallenge case study solutions.

Developed a data processing pipeline to transform Canadian banking data using PySpark on Databricks. The pipeline standardizes, cleans, and enriches raw financial datasets for downstream analytics and reporting.

SQL_Notes: Learn SQL concepts through practical application! This repository contains concise notes on key SQL concepts, commands, and techniques, illustrated by solutions to LeetCode SQL challenges and exercises from other sources. Sharpen your SQL skills by understanding the why behind the code!

Built a Data Model, Implemented Basic to Advanced SQL Queries

This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis

This repository contains SQL scripts for analyzing ERP and CRM data from the gold layer of the data warehouse built in PostgreSQL-Data-Warehouse-Project. It covers both exploratory data analysis and advanced analytics techniques like trend analysis, cumulative metrics, performance tracking, data segmentation, and part-to-whole evaluation.

MySQL-for data analytics

A structured SQL analysis of Major League Baseball (MLB) data using analytical queries and window functions.

MySQL code using subqueries and window functions

Case Study #1 - Danny's Diner

A window function performs a calculation across a set of table rows that are somehow related to the current row.

This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights industry best practices in data engineering and analytics.