Anirban Sengupta

About Anirban Sengupta

I am a senior leader with 18+ years of experience working at the intersection of machine learning, product and engineering, to create products that delights the customers. My experience has more evolved into the advertising domain having significant experience in building, leading, and scaling engineering, product, and ML teams in different realms of the advertising stack including relevance, product development, ad sourcing, bidding, and auctions. Working backwards from the customer problem, and using science and technology as tools to build solutions that addresses these customer needs (and even more), drives me as a technology leader. I build teams and leaders, and create opportunities for all to professionally develop by scoping opportunities for team members to progressive own areas of high complexity, and manage them independently. I take pride in the teams I have built, ensuring diversity & inclusiveness in its core DNA. I find ways to get things done: indexing on durable and programmatic solutions, but not hesitant to invent and simplify when needed. I am driven by curiosity and this has encouraged me to work in disparate domains: legal, hardware devices, crowdsourcing platforms, customer engagement, advertising, and payments. Each of these experiences have cumulatively made me stronger, wiser, and hungrier for more challenges. My range of experience spans between defining business metrics to developing and implementing ML-driven solutions that scale real-time.Technical specialties: Data science, machine learning, econometrics, statistics, data mining, advertising, business intelligence, data analytics.

Experience

1. Director, Amazon Sponsored Products and Brands

   Amazon

   Jan 2026 — Present · Seattle, WA, US

   Building new agentic AI experiences to improve advertiser experiences for Amazon Sponsored Product and Brands. We are building new capabilities and strategies to drive actionable insights and recommendations with the goal of improving advertisers ROI on Amazon.

Education

• UC San Diego

  Certification in Data Mining, Data Mining, Machine learning

  2013 — 2014

• St. Xavier's College

  Bachelor of Science (BSc), Economics

  1995 — 1998

• Texas A&M University

  Doctor of Philosophy (PhD), Econometrics and Industrial Organization

  2001 — 2007

• University of Washington

  Certificate in Machine Learning, Machine Learning

  2015 — 2015

• Udacity

  Deep Learning Nanodegree, Deep Learning

• Jawaharlal Nehru Technological University

  Master of Arts (M.A.), Economics

  1998 — 2000

Skills

• Market Research
• Stata
• Price Optimization
• Statistics
• Sas
• Analysis
• Modeling
• Analytics
• Sas Programming
• R
• E-Commerce
• Statistical Modeling
• Time Series Analysis
• Econometrics
• Economics
• Data Mining
• Data Analysis
• Microeconomics
• Applied Econometrics