Suppose you're a salesman at a bustling retail store. Every day, you interact with a wide variety of customers, each with their own unique preferences and shopping habits. You notice that some customers frequently buy high-end electronics, while others are always on the lookout for the best deals in the clothing section. Some visit the store weekly, while others make their purchases online. As a keen observer, you realize that understanding these diverse behaviours could unlock tremendous opportunities for the store. Now, imagine you have access to a treasure trove of customer data and the skills of a data scientist. Your mission: to uncover hidden patterns and insights from customer purchasing behaviour, segmenting customers into distinct groups to revolutionize the store's marketing and customer experience strategies.