Using Machine Learning to Improve Financial Decisions w/ Chakri Cherukuri at Bloomberg @ccherukuri1 (Episode 96) #DataTalk
Podcast:
Every week, we talk about important data and analytics topics with data science leaders from around the world on Facebook Live. You can subscribe to the DataTalk podcast on iTunes, Google Play, Stitcher, SoundCloud, and Spotify.
In this week’s #DataTalk, we chat with Chakri Cherukuri at Bloomberg about ways machine learning is used in financial decisions.
This data science video series is part of Experian’s effort to help people understand how data-powered decisions can help organizations develop innovative solutions.
Chakri Cherukuri
Chakri Cherukuri is a senior researcher in the Quantitative Financial Research Group at Bloomberg LP. His research interests include quantitative portfolio management, algorithmic trading strategies, and applied machine learning. Chakri has extensive experience in numerical 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, Madras, an MS in computer science from Arizona State University, and an MS in computational finance from Carnegie Mellon University.
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