January 17 to 19 2018, Santa Clara, USA.


Speaker "Venkatesh Ramanathan" Details

Name :
venkatesh ramanathan
Company :
Title :
Data Scientist
Topic :

Graph Based Representation Learning for Payment Fraud Prevention

Abstract :

PayPal is at the forefront of applying large scale graph processing and machine learning algorithms to keep fraudsters at bay. In this talk, I¹ll  present how advanced graph processing and machine learning algorithms are applied at PayPal for fraud prevention. I'll give an in-depth overview of emerging area of graph based machine learning. I¹ll elaborate on specific challenges in applying large scale graph processing & machine technique to payment fraud prevention.

I'll present results from experiments conducted on a very large graph data set containing millions of edges and vertices.

Profile :
Venkatesh is a senior data scientist at PayPal where he is working on building state-of-the-art tools for payment fraud detection. He has over 20+ years experience in designing, developing and leading teams to build scalable server side software. In addition to being an expert in big-data technologies, Venkatesh holds a Ph.D. degree in Computer Science with specialization in Machine Learning and Natural Language Processing (NLP) and had worked on various problems in the areas of Anti-Spam, Phishing Detection, and Face Recognition.

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