I have a sizable set of customer data that I want thoroughly analyzed so I can pinpoint clear purchasing and behavioural preferences. The core of the assignment is data analysis—no integration work is needed—and the sole focus is on customer-centric information rather than sales or operational figures. Here is what I expect: • Clean, prepare, and explore the raw customer dataset • Apply statistical or machine-learning techniques (Python, R, SQL, or a tool you can justify) to surface meaningful segments and preference patterns • Translate findings into a concise insights report supported by visuals or dashboards that make the conclusions easy to act on Acceptance criteria: 1. A reproducible analysis workflow (scripts or notebooks) with comments explaining each major step 2. A summary report outlining key customer clusters, top preference drivers, and actionable recommendations 3. All deliverables delivered in a shared folder, clearly organised If you can demonstrate past work in customer analytics and turn complex data into straightforward guidance, I’m ready to get started right away.