TRACK B: Models & Data: Scaling Recommendations to Drive Personalization in Finance, A Fireside Chat | Kisaco Research
Session Topics: 
Enterprise AI
ML at Scale
Systems Design
Speaker(s): 

Author:

Supriya Gupta

GM, Recommendations
Credit Karma

As Credit Karma’s head of Recommendations, Supriya is charged with personalizing the Credit Karma app experience for the company’s more than 120 million members. When she joined the team more than three years ago, Supriya oversaw the transformation of the company’s recommendations engine into a dynamic and personalized deep-learning based system that leverages data and machine learning to deliver tailored recommendations and offers to our members. This means members are served financial products, tools and recommendations at the right time, and that best adhere to their financial goals and ambitions. Under Supriya’s leadership, Credit Karma’s recommendations system has significantly grown and transformed over the years, and her team is doing more than 35 billion model predictions each day. Today, her business unit partners with nearly every team at Credit Karma and drives a significant portion of revenue for the business. Prior to joining Credit Karma, Supriya worked in product at Facebook, where she led product strategy and development for a number of ads products. Supriya holds a B.S. and M.S. in Electrical Engineering from the University of Illinois, and a M.B.A. from The Wharton School of the University of Pennsylvania.

 

 

Supriya Gupta

GM, Recommendations
Credit Karma

As Credit Karma’s head of Recommendations, Supriya is charged with personalizing the Credit Karma app experience for the company’s more than 120 million members. When she joined the team more than three years ago, Supriya oversaw the transformation of the company’s recommendations engine into a dynamic and personalized deep-learning based system that leverages data and machine learning to deliver tailored recommendations and offers to our members. This means members are served financial products, tools and recommendations at the right time, and that best adhere to their financial goals and ambitions. Under Supriya’s leadership, Credit Karma’s recommendations system has significantly grown and transformed over the years, and her team is doing more than 35 billion model predictions each day. Today, her business unit partners with nearly every team at Credit Karma and drives a significant portion of revenue for the business. Prior to joining Credit Karma, Supriya worked in product at Facebook, where she led product strategy and development for a number of ads products. Supriya holds a B.S. and M.S. in Electrical Engineering from the University of Illinois, and a M.B.A. from The Wharton School of the University of Pennsylvania.

 

 

Author:

Vishu Ram

VP of Data Science and Engineering
Credit Karma

As VP of Data Science and Engineering at Credit Karma, Vishnu has been instrumental in building and scaling Credit Karma’s machine learning infrastructure, powering personalized recommendations at scale, in pursuit of helping its 120 million members make financial progress. Having been with Credit Karma for nearly eight years, Vishnu has led development strategy and implementation of the company’s deep-learning based system comprised of an internally built machine learning platform that helps the Credit Karma transform and manage data at scale. His team runs 35 billion model predictions a day and is tasked with building sophisticated models to boost platform innovation in order to deliver an optimized product experience for Credit Karma’s 120 million members. Prior to joining Credit Karma, Vishnu held CTO roles at Nykaa and Games24x7.

 

Vishu Ram

VP of Data Science and Engineering
Credit Karma

As VP of Data Science and Engineering at Credit Karma, Vishnu has been instrumental in building and scaling Credit Karma’s machine learning infrastructure, powering personalized recommendations at scale, in pursuit of helping its 120 million members make financial progress. Having been with Credit Karma for nearly eight years, Vishnu has led development strategy and implementation of the company’s deep-learning based system comprised of an internally built machine learning platform that helps the Credit Karma transform and manage data at scale. His team runs 35 billion model predictions a day and is tasked with building sophisticated models to boost platform innovation in order to deliver an optimized product experience for Credit Karma’s 120 million members. Prior to joining Credit Karma, Vishnu held CTO roles at Nykaa and Games24x7.