Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Discover opportunities for applied AI
Organizations that successfully apply AI innovate and compete more effectively. How is AI transforming your business?
Be a part of the program—apply to speak by October 16.
Chakri Cherukuri

Chakri Cherukuri
Senior Quantitative Researcher, Bloomberg LP

Website

Chakri Cherukuri is a senior researcher in the Quantitative Financial Research group at Bloomberg LP in NYC. His research interests include quantitative portfolio management, algorithmic trading strategies and applied machine learning. He has extensive experience in scientific computing and software development. Previously, he built analytical tools for the trading desks at Goldman Sachs and Lehman Brothers. He holds an undergraduate degree in engineering from the Indian Institute of Technology (IIT) Madras, India and an MS in computational finance from Carnegie Mellon University.

Sessions

4:05pm4:45pm Thursday, April 18, 2019
Case Studies, Machine Learning
Location: Sutton South
Secondary topics:  AI case studies, Financial Services, Text, Language, and Speech
Chakri Cherukuri (Bloomberg LP)
In this talk we will see how machine learning and deep learning techniques can be applied in the field of quantitative finance. We will look at a few use-cases in detail and see how machine learning techniques can supplement and sometimes even improve upon already existing statistical models. We will also look at novel visualizations to help us better understand and interpret these models. Read more.