I advice Chief Data and Analytics Officers (CDAOs) and Data and Analytics (D&A) leaders on industry best practices and solve for their most pressing issues. Some of the recurring themes that I've conversed with clients about are linking D&A to business outcomes, defining D&A outcome metrics, D&A-business stakeholder management, data/AI literacy programmes, and informing clients of the latest adoption-value-risk trends from analytics and AI technologies.
I'm an applied economist by training, and have been criss-crossing between academia and the industry for over a decade now. In my past avatar, I was a full time academic engaged in teaching and research pertaining to managerial economics, economics of two-sided markets, aspects of regulating big tech, and behavioral economics. Aside from research and teaching, I was involved in shaping and designing the curriculum for a hands-on, learning by doing B-school pedagogy. I also advised and mentored student startups and helped them with user reserch, product-market fit, and fundraising and pitching.
Masters' Union, Assistant Professor - Economics & Public Policy, 2 years
Indian Institute of Management Calcutta, Doctoral Resarcher and Graduate Tutor, 5 years
Deloitte, Senior Analyst (Transfer Pricing), 1 years
National Law School of India University, Assistant Professor (On Contract), 1 years
Data and Analytics Leadership and Programs
Analytics and Artificial Intelligence
PhD Economics, Indian Institute of Management, Calcutta.
Value from D&A: How do you link D&A to business value? How should I think of defining D&A outcome-based metrics?
D&A-Business Stakeholder Management: How should D&A engage with its business users?
Data/AI Literacy: How to design an AI training programme? How to develop AI skills for D&A?
D&A Roadmap: What is the maturity of my D&A practice? What is missing in my strategy? How do I design the operating model?
Analytics&BI and DSML/AI Technologies: What is the adoption-value-risk associated with these technologies? How does agentic AI shape BI?