Rohan Singh Rajput
Senior Data Scientist at Headspace
Rohan Singh Rajput is a personalization lead at Headspace, a company that offers meditation and mindfulness resources. Rohan has worked in the field of machine learning for over six years and has extensive experience in developing and deploying recommendation systems. At Headspace, he along with his team has implemented a number of successful recommendation models. Rohan is highly skilled in personalization and committed to using his expertise to improve the user experience for customers.
Meet the speaker at the Data Science Conference SAN FRANCISCO on November 29! Book your pass here https://www.datascience.salon/san-francisco/
WATCH ON-DEMAND: FEBRUARY 21
In this technical talk, we will delve into the process of designing and implementing a recommendation system for a meditation app. We will discuss the various factors that go into determining app recommendations, including user preferences, app ratings, and personalization algorithms. We will also cover the challenges and best practices for building a recommendation system that effectively helps users discover new meditation content. In addition, we will explore how to incorporate user feedback and data analysis to continuously improve the recommendation system over time. By the end of this talk, attendees will have a comprehensive understanding of how to build a recommendation system for a meditation app and how to use it to drive user engagement and retention.