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Sameer Gupta
National Leader, EY India Tax
Sameer Gupta is a Principal at EY (Ernst & Young) and serves as the North America Financial Services Organization Advanced Analytics Leader. He has a robust background in implementing transformational business strategies for major consumer lending institutions and payment networks, focusing on advanced analytics to enhance customer risk management, fraud prevention, compliance, and marketing efforts.13
Professional Background::
- Current Role: Principal at EY since March 2014, leading a cross-functional team that utilizes AI-driven methodologies, including natural language processing and deep learning.24
- Previous Experience: He was the general manager and founder of the Consumer Finance and Risk Division at an AI solutions provider, where he gained extensive experience in banking, capital markets, and insurance.13
Education::
- MBA: Finance and Financial Management Services from the Indian Institute of Management.
- BTech: Electrical, Electronics, and Communications Engineering from the Indian Institute of Technology.1
Sameer Gupta's expertise lies in leveraging advanced analytics to drive significant improvements in business performance within the financial services sector.
Highlights
Enjoyed moderating a panel on Leveraging AI for Business Transformation at the AI4 conference in Las Vegas with my distinguished friends from Vanguard Mitul Patel and Michael Woolley
The financial services industry faces significant digital challenges, from technical debt to security vulnerabilities, compounded by an aging talent pool. The advent of GenAI is revolutionizing how these challenges are addressed, accelerating the efficiency of junior technical staff and enhancing the capabilities of senior talent.
By automating routine tasks such as bug detection and code generation, GenAI copilots allow developers to focus on more complex issues and strategic priorities. At the same time, initiatives like the EY Code Assist generate human-readable comments for legacy code, speeding up modernization to languages like Java and Python.
There are various successful pilot programs conducted by @EY teams showing us the way ahead: An automated conversion of 4,000 lines of SAS code to PySpark resulted in a 50% leap in efficiency — 60% for a similar conversion project from PostgreSQL to Google BigQuery. A transformation of PL/SQL to Spark SQL saw a 35% boost in efficiency.
GenAI is reshaping financial IT infrastructure and how we build it. To glean more insights on GenAI’s role in future-proofing financial services firms’ IT infrastructure, check out this new report by Paul Sussex, Alim Williams, and James Hwang:
https://lnkd.in/eDtcyZ6c
