Onsite Data Analysis Project

You are given an unfamiliar dataset during an onsite interview and asked to perform a complete data analysis in roughly one hour. The dataset could be anything -- customer transactions, sensor readings, financial returns. You have access to Python (pandas, sklearn, matplotlib) and a Jupyter notebook. Walk through your full approach: how do you spend your time, what do you look at first, how do you decide what to model, and how do you present your findings? Be specific about the tools and techniques you would use at each stage. Assume the interviewer cares as much about your process and communication as the final result.