Database-driven solutions focused on structured design, analytics, and scalable data architecture.
A foundational SQL project focused on database creation, table design, data insertion, and basic analytical queries.
Build a simple relational database for a fictional shopping mall and extract meaningful statistics using SQL aggregate functions.
CREATE DATABASE mall;
USE mall;
CREATE TABLE tospin (
id INT PRIMARY KEY,
name TEXT,
price FLOAT,
quantity INT,
sales INT
);
SELECT MAX(price) FROM tospin;
SELECT MIN(price) FROM tospin;
SELECT AVG(price) FROM tospin;
SELECT SUM(quantity) FROM tospin;
SELECT COUNT(name) FROM tospin;
This project demonstrates strong fundamentals in SQL syntax, schema design, and analytical thinking.
A creative SQL project showcasing database design, structured inserts, and real-world logging scenarios using MySQL.
Create a structured database that logs donut consumption across multiple life stages, demonstrating real-world data modeling.
CREATE TABLE winstons_donut_logs (
id INT PRIMARY KEY,
status VARCHAR(255),
years_old INT,
donuts_eaten INT,
reason TEXT
);
The dataset tracks behavior over time, mirroring common event-logging use cases in analytics systems.