Introduction
Today organizations, which hire data scientists are especially interested in job candidate's portfolio. Analysis of organization's marketing data is one of the most typical applications of data science and machine learning. Such analysis will definetely be a nice contribution to the protfolio. In general, datasets which contain marketing data can be used for 2 different business goals:
Prediction of the results of the marketing campaign for each customer and clarification of factors which affect the campaign results. This helps to find out the ways how to make marketing campaigns more efficient.
Finding out customer segments, using data for customers, who subscribed to term deposit. This helps to identify the profile of a customer, who is more likely to acquire the product and develop more targeted marketing campaigns.