Conducted EDA on a dataset of 20,000 users using Python to derive actionable insights contributing to informed decision-making.Determined the most selling products based on buying and orders behavior and ratings contributing to target supply and promotions adjustments.Categorized customers into segments revealing that 70% of customers were from married segment.Identified group of repeat users, impact of which can be seen as increased loyalty program sign-ups, high retentions, and increase in repeat business.

Worked on reporting of inventory of tiles and other hardware.Prepared presentation for client showcasing different product with pricing and popularity.Worked on devicing pricing strategies based on historical sales.