Time-to-event modeling is critical to better understanding various dimensions of the user experience. By leveraging censored time-to-event data (data involving time intervals where some of those time intervals may extend beyond when data is analyzed), companies can gain insights on …
Hesen Peng
Hesen Peng is a senior data scientist at Uber’s Rider Data Science team.
