Data Science Intern
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.