1. Specify a target group of users for the promotion. Briefly justify your choice using the sample data. (Recommended time: 60 mins for exploratory data analysis, 30 mins for deciding on parameters of the target group.) 2. Build a simple machine learning model in Python to predict a user’s probability of conversion. Please note: we’re not looking for anything complicated here — we’re more interested in how you build a model, which data you choose to train the model, and how you define your target variable. Please do not spend a lot of time obsessing over feature selection, feature engineering, or hyper parameter tuning. (Recommended time: 90 mins.)

p-value definition/ career goal/ confidence interval