Although statistical techniques such as Elastic Net, Gradient Boosting Tree have traditionally done a good job in identifying potential fraud cases, but with the ever evolving modus operandi of fraudsters we need to deploy self-learning/ deep learning algorithms such as ANN to stay one step ahead of fraudsters!

Attend this session to learn about Artificial Neural Network (ANN) based fraud detection & prevention in FinTech industry !

ABOUT SPEAKER

Ratnakar Pandey has more than 15 years of experience in analytics and data science fields. At Kabbage, he is leading the machine and deep learning models development activity across customer life cycle, from acquisition to customer engagement to fraud prevention to risk based underwriting policy development.

Prior to joining Kabbage, he has been a part of the data science leadership team in Citigroup, Target, Texas Instruments, and few startups in India. He has got an MBA from ISB Hyderabad, MS from the University of Arkansas, and Btech from HBTI Kanpur.