Given the huge volumes of data available (both structured and un-structured) for American Express Card Members, American Express has adopted Machine Learning in all its core business processes of Credit and Fraud Risk Management, Marketing Analytics and Operations. Work entailed building in-house data warehouses with right level of privacy controls and then using state of art machine learning algorithms from open sources to solve unique business problems across various business verticals.
Adoption of Machine Learning has ensured building of robust economic models leveraging the best possible information, delivering the highest predictive power with utmost accuracy. The models are updated at the highest possible frequency ensuring the models incorporate the most recent information. This has led to significant improvement in the controls for Fraud Risk and also improved the targeting of appropriate segments with far higher accuracy in marketing.
As a part of the presentation, speakers will take the audience through 3-4 actual use cases of core American Express processes and how Machine Learning has completely changed the game. Discussion will also include the new areas where company is thinking of doing research and bringing the best value for its Card Members.
Jayatu Sen Chaudhury is the Vice President, Global Commercial and Merchant Data Science and Head of Enterprise Digital & Analytics India for American Express India. Prior to this role, he was the Head of Global Information Management, Big Data Labs & Advanced Risk Capabilities. Jayatu has been a part of American Express since 2001, working in the various Decision Science Functions for both US and International markets.
He has earned his PhD in Financial Economics from IGIDR, economic research institute funded by the Central Bank of the Country (Reserve Bank of India). Prior to joining American Express, Jayatu worked in Decision Science for two years each in GE Capital and ICICI Bank.
Shourya Roy is the Head and Vice President of American Express Big Data Labs (BDL) since December 2016. He is leading a team of about forty scientists and engineers, based in Bangalore and New York, in the areas of artificial intelligence, machine learning, deep learning and cloud computing. He and his team are driving several strategic state of the initiatives for American Express working closely with the technology and business units. Prior to joining American Express, Shourya spent nearly fifteen years in the labs of IBM and Xerox playing several leadership roles in technical research, research and strategic management, customer facing business development. Shourya has a proven track record to conceptualize and initialize (by influencing business group leaders), design and develop (by participating and leading research teams) and transfer (with software development partners) innovation from research labs to real life operations and business. Shourya’s technical expertise spans Natural Language Processing, Text and Data Mining, Machine Learning, and Big Data in which he is a well-known thought leader in India and globally. His work has led to more than 60 publications in journals and conferences in premier venues such as ACL, EMNLP, KDD, SIGMOD, VLDB, IJCAI, AAAI, SDM (google scholar). Based on innovations made, he has been granted 15 patents while several other applications are currently in different stages of patent lifecycle. Shourya co-initiated and ran a series of workshops under the title “Noisy Text Analytics” between 2007-12 even before some of these problems were as pervasive as they are today. He is currently the Vice Chair of the India Chapter of SIGKDD, an active member of the ACM and ACL communities – as a part of which he has been associated with multiple conference and workshop organizations. Notably, he chaired the India Chapter of KDD conference earlier this year. Shourya holds Ph.D., Masters and Bachelor Degrees in Computer Science from Indian Institute of Science (IISc) Bangalore, Indian Institute of Technology (IIT) Bombay and Jadavpur University respectively.
He has earned his PhD in Financial Economics from IGIDR, economic research institute funded by the Central Bank of the Country (Reserve Bank of India). Prior to joining American Express, Jayatu worked in Decision Science for two years each in GE Capital and ICICI Bank.