Marketing Analytics Spring 2019

A series of joint projects on topics related to marketing analytics. Cases covered included:

Ford Ka customer segmentation using a k-means approach
Movie Scheduling using a topic modeling approach
Orange Juice Pricing using log-Linear Regression
Freemium Music Subscription conversion using Logistic Regression and Decision Trees
Cell Phone Customer Churn estimation and marketing initiative using Logistic Regression and Decision Trees

A solo project on:

Telemarketing campaign to encourage bank deposits using Logistic Regression.

Built With

Anaconda 3.7
R Studio
Python Jupyter Notebooks
Microsoft Office

Authors

Daniel Lesser, Joseph Standerfer, Jasmine Kuar, Spriha Gupta

Acknowledgments

Alan Montgomery (Carnegie Mellon University Professor)