Listen "006: Financial Modeling and Data Science, Inputs vs Assumptions and Going Big with Xinran Liu"
Episode Synopsis
In this session of the Super Data Science Podcast, I chat with Expert Financial Modeler Xinran Liu. You will learn about Financial Modeling, how Data Scientists can get into this space, the difference between inputs and assumptions and more.
If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/6
If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/6
More episodes of the podcast Super Data Science: ML & AI Podcast with Jon Krohn
955: Nested Learning, Spatial Intelligence and the AI Trends of 2026, with Sadie St. Lawrence
06/01/2026
953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI, with Dell’s Global CTO John Roese
30/12/2025
952: How to Avoid Burnout and Get Promoted, with “The Fit Data Scientist” Penelope Lafeuille
26/12/2025
948: In Case You Missed It in November 2025
12/12/2025
946: How Robotaxis Are Transforming Cities
05/12/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.