Josh Xi

Josh Xi, a Data Scientist at Lyft with a PhD in Operations Research, shares insights on real-time forecasting methods for marketplace dynamics. He discusses the effectiveness of time series models over deep neural networks, emphasizing their adaptability and efficiency. Listeners will learn about integrating external data like weather and events into demand forecasts. Xi also delves into the complexities of geographical forecasting and the role of human insights in enhancing predictive accuracy, making it a must-listen for data enthusiasts!