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- Gajapathy Vijayarengam
Gajapathy Vijayarengam
Professor & Chair of Analytics
Profile Summary
Dr. Gajapathy Vijayarengam is an academic and industry professional with expertise in Blockchain, Agentic AI, business analytics, causal analytics, and financial machine learning. An alumnus of IIM Calcutta, IIIT Hyderabad, and Dr. Ambedkar Law University, he also holds postgraduate degrees in economics and management.
He has delivered industry projects across insurance, trade finance, and mobility systems, including blockchain-based solutions and predictive analytics models for healthcare and finance. With prior experience at MetLife, Royal Sundaram, and Inquo, he brings strong industry integration into academia.
A recognised speaker and trainer, he conducts FDPs, workshops, and conferences, and has published in ABDC and Scopus-indexed journals, along with holding two patents.
Work Experience
Dr. Vijayarengam brings experience across analytics, insurance, and risk domains, spanning both academia and industry. He has held faculty roles teaching advanced subjects such as machine learning, blockchain, NLP, financial analytics, and econometrics.
In industry, he has worked with MetLife India and Royal Sundaram, and most recently served as Project Director at Inquo, Bengaluru, focusing on blockchain and DeFi solutions for fintech applications.
Research Interests
Blockchain and decentralised systems; Agentic AI; financial machine learning; causal analytics; NLP; risk analytics; applied AI in finance.
Teaching Philosophy
His teaching follows a learner-centric, application-driven approach, integrating AI tools, real-world case studies, and project-based learning.
He emphasises hands-on skill development in analytics tools such as Python, R, SQL, and Power BI, while fostering collaborative learning and problem-solving. His approach ensures students are equipped for industry roles in analytics and AI-driven decision-making.
Courses Taught
Blockchain Technology; Crypto; Agentic AI; Business Analytics; Financial Machine Learning; Causal Analytics; NLP; Risk Analytics; Applied AI in Finance.
Awards and Grants
Holds two patents and has received recognition for contributions to research and innovation in analytics and AI-driven systems.
Scholarly Activities
Dr. Vijayarengam’s research focuses on blockchain, Agentic AI, and financial analytics, with applications in financial markets, insurance, and digital infrastructure.
He has published in ABDC and Scopus-indexed journals and actively contributes through keynote sessions, FDPs, and industry workshops.
His work integrates causal inference and machine learning to build scalable, transparent AI solutions, while also contributing to curriculum development and industry collaboration in InsurTech and enterprise risk analytics.