Pet Mind EDA February 2023

Conducted a comprehensive analysis of Pet Mind data, a US-based retailer of pet products, with the goal of boosting sales through increased repeat purchases of everyday pet products.

Technical stack Used in the Project -

• Utilized various data cleaning and processing techniques, including boxplots, to identify and remove outliers, ensuring the quality and reliability of the dataset.
• Discovered that products with average ratings and belonging to animal categories other than birds exhibited higher repeat purchase patterns among customers.
• Arrived at a strategic approach to increase sales by reducing the pricing structure for medium-sized products to below $30, effectively targeting potential repeat buyers.

The Github code is here