Analyzing the data set of the results run by an e-Commerce website to help the company understand if they should implement the new page or keep the old version.
The study was done under Python with statistical techniques for hypothesis testing, such as A/B test and regression (logistic regression with the introduction of dummy variables), to validate data and interpretations.