Sapan Patel

Executive Summary

Sapan is an experienced Science & Tech leader with over 17+ years of experience, including 11 years at Amazon and still counting. He is known for successfully bridging the gap between science and product delivery. He has proven track record in defining and delivering data and science driven solutions for complex problems in domains such as Amazon eCommerce, Smart Voice Assistance, Enterprise Cloud, Finance, Healthcare and more. He has been instrumental as a founding leader in many global, cross-functional initiatives, establishing research hubs to create impactful products across diverse Amazon customer segments.

Professional Experience

Amazon – Seattle, WA (USA) – (Jul 2013 – Present)

Over last 10+years at Amazon, I have played a pivotal leadership role in driving Applied Machine Learning (ML) \& AI strategy and spearheading critical ML projects across various organizations in Amazon Selling Partner Services (SPS) and Alexa businesses. Leading to launches with multi-million dollar returns, impacting all locales of world-wide Amazon operations. In SPS business, my initiatives aimed at improving Amazon product discovery, engagement, and conversion for both internal and external brands and helping Selling Partners grow their business on Amazon. In Alexa, I have spearheaded and delivered premium customer experiences esp. for Kids, content optimization, intelligent sales and Alexa Ads solutions. Some of my efforts have resulted in incrementality measurement tools and marketing action mix implementations, driving significant Free Cash Flow (FCF), establishing standardized measurement frameworks and defining ML/AI policies across Amazon. On sciences front, I have established teams that successfully research from Causal Inference and Estimation, Rec Sys, SysML, Natural language processing and Understanding, Forecasting, Generative AI and more sub fields of ML/AI and apply them for solutions built at Amazon scale.

Oracle – Bangalore (India) – (Jul 2009 – Jul 2013)

At Oracle I played a pivotal role in several transformative projects, leveraging my strength in Business Intelligence (BI) and Data Warehouse (DWH) system,s building foundational tech aiding all stages of analytics (descriptive, diagnostic, predictive, prescriptive) and downstream applied ML. My contributions included designing and implementing the offline Data Warehousing using Dimensional Modeling, automating ETL processes for downstream ML modeling and developing comprehensive BI dashboards for developing 360 degree business view. Additionally, I collaborated closely with stakeholders to refine business processes and ensure successful change management, all of which were instrumental in enhancing sales intelligence and operational efficiency of Oracle University (OU) business.

Keane (NTT Data) – Bangalore (India) – (Jul 2006 – Jul 2009)

During my tenure at Keane, I made Significant contributions by designing and developing domain specific Data Marts, optimizing existing database structures, performance tuning initiatives using various database technologies for clients like McKesson (USA), Philips – Lifeline (USA), UNISYS (Belgium) and STAPLES (USA). These initiatives were stepping stones for the clients in their journey to build predictive intelligence using their enterprise data.

Let’s Connect!

If you’re looking for someone to bounce ideas, have a philosophy to share, love entrepreneurship, wanna chat about any Machine Learning/Artificial Intelligence topics or just want to say Hi, I’m all ears!