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Tuesday, November 10 • 10:00am - 10:30am
Solving customer churn with Machine learning - Julian Bharadwaj

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Consumer churn is a critical KPI for many organizations both subscription based and e-commerce. This presentation discusses a framework for quantitative understanding of churn, compares the performance various machine learning algorithms and lists out technical challenges and solutions. It begins with a set of simple probability distributions, explains the tasks performed during the exploratory data analysis phase and finally, compares the results from different machine learning algorithms : Random Forests, Gradient Boosting Machine, Support Vector Machines and Deep Learning, among others. It also details who the different consumers of the data product are and how it's presented to each persona.

avatar for Julian Bharadwaj

Julian Bharadwaj

Data Scientist, PayPal
Julian Bharadwaj is a Data Scientist at PayPal in the Analytics Centre of Excellence. He has been in PayPal for 3 years and before that, in the travel industry for over a decade doing everything from software development to consulting but, always looking to the data to solve problems. His current interest is in customer lifecycle, specifically, customer churn as applied in the eCommerce world. He holds a Bachelor's degree in Mechanical... Read More →

Tuesday November 10, 2015 10:00am - 10:30am
Ramanujan Stage