Conducted an experiment (A/B testing) to determine the return of the advertising on search engines.

In this project, we try to estimate the probability that a given customer would leave in the near future and identify the drivers that contributed most to that customer’s decision so that they would be able to reach out to the customer, enhance his or her experience with QWE services, and divert churn without giving up costly discounts.

To understand the average shopper and customer behavior on Black Friday, we developed analysis through hypotheses tesing, statistical modeling to provide suggestions to the store on which segment, demographic and city category the store can focus on. And using predictive analytics this report suggests the customers the retail firm can target to maximize Black Friday profits.

This assignment is to find relationships between different world development indicators using various plots, including bar chart, line charts, and maps. Related package includes ggplot2 and leaflet.