About

Andrea Pasqua is a data science manager at Uber, where he leads the time series forecasting and anomaly detection teams. Previously, Andrea was director of data science at Radius Intelligence, a company spearheading the use of machine learning in the marketing space; a financial analyst at MSCI, a leading company in the field of risk analysis; and a postdoctoral fellow in biophysics at UC Berkeley. He holds a PhD in physics from UC Berkeley.

Talk

Forecasting at Uber: Machine Learning approaches

Level: Intermediate

In this talk, we will give an overview of several machine learning approaches to forecasting time series that we have employed at Uber with success. We will also strive to abstract from the examples given and offer some general experience-based learnings.