Speaker "Upendra Mardikar" Details Back



Machine Learning in the payment industry


An overview of the current trends in ML and the payment industry. Discussion on the evolution of analytics and data handling. Challenges and applications in Fraud and Risk management as well as current and future forecasted development in handling the vast amount of data collected. The implications of applying ML in the payment industry to reduce user friction as well as uplifting the security posture.


Upendra is the Chief Security Officer of Snap Finance, a leading omnichannel digital first fintech and POS lender, where he leads cyber security while building new platforms to enable growth opportunities. This includes securing innovative multi-cloud platforms and products, Artificial Intelligence, client-facing technology, and customer and developer experiences.
He is a regular speaker at esteemed conferences for Stanford University, Global Big Data Conference, NFC forums, European Identity Conference, KNOW Identity Conference, Global Retail Conference in Canada, IOT conference and others. Featured in Genius Journal, he helped pioneer blockchain in Amex and filed patents on blockchain and DLTs. He and his team worked on IOT security and payments and participated in several industry standard bodies like EMV,Global Platform, PCI-DSS, FIDO, etc.
He is an advisory board director for select security startups and helps venture capitalists evaluate companies. He holds an MBA from Santa Clara University, California and Bachelor of Engineering in Computer Science from VNIT, Nagpur, India. He is credited with 95+ patents issued and pending and has received awards for innovation and leadership.