Developed a robust plant disease prediction model using a Convolutional Neural Network (CNN), achieving 88.28% validation accuracy on the PlantVillage dataset.

Employed Python for the analysis of data pertaining to 2700 billionaires, involving thorough data cleaning, aggregation, and visualization using matplotlib

This project is designed to demonstrate SQL skills and techniques typically used by data analysts to explore, clean, and analyze retail sales data.