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You work at Rossmann Pharmaceuticals as a Machine Learning Engineer. The finance team wants to forecast sales in all their stores across several cities six weeks ahead of time. Managers in individual stores rely on their years of experience as well as their personal judgment to forecast sales.

The data team identified factors such as promotions, competition, school and state holidays, seasonality, and locality as necessary for predicting the sales across the various stores. Your job is to build and serve an end-to-end product that delivers this prediction to analysts in the finance team.

SmartAd provides an additional service called Brand Impact Optimiser (BIO), a lightweight questionnaire, served with every campaign to determine the impact of the creative, the ad they design, on various upper funnel metrics, including memorability and brand sentiment.

As a Machine learning engineer in SmartAd, one of your tasks is to design a reliable hypothesis testing algorithm for the BIO service and to determine whether a recent advertising campaign resulted in a significant lift in brand awareness.

Your employer wants you to provide a report to analyse opportunities for growth and make a recommendation on whether TellCo is worth buying or selling. You will do this by analysing a telecommunication dataset that contains useful information about the customers & their activities on the network. You will deliver insights you managed to extract to your employer through an easy to use web based dashboard and a written report.