Oct 2020 – Jul 2025 · 4 yrs 9 mos

• Led AI, Analytics and Data Sciece for all Flipkart Group (Flipkart, Cleartrip, Shopsy, FK Minutes and Jeeves)
• I was the Chief Data Analytics Officer (CDAO) for the Flipkart Group (Flipkart, Cleartrip, Shopsy, FK Minutes and Jeeves) and part of the executive leadership team. I led a 350 member team of AI/ML scientists and Analytics professionals. Our team's mission was to drive the applications of Generative AI, Agentic AI , Machine Learning, and Predictive Analytics into building intelligent products and Data-driven business insights to create sustainable and scalable impact for Flipkart and Flipkart's customers. Our work spanned critical areas across Product/Technology and Business functions, including search, Discovery, conversational commerce, customer growth and loyalty, customer experience, pricing, assortment, marketing, marketplace and seller growth, supply chain and logistics, fintech, product quality, and operational productivity.
• Since joining Flipkart in December 2014, I have led initiatives leveraging advanced AI, ML, and analytics to drive substantial improvements in customer experience, top-line, and bottom-line metrics. Our team applies cutting-edge science and technology—including Agentic AI, Generative AI, Computer Vision, Machine Learning and Large Language Models—to solve significant e-commerce challenges such as Search and Discovery, Logistics, Ads, and even Fashion Design.

Dec 2014 – Oct 2020 · 5 yrs 10 mos

• I lead the Analytics organisation in the company and am responsible for building analytics driven solutions to help drive decisions across all areas of the business

Aug 2019 – Aug 2024 · 5 yrs · Udaipur, Rajasthan, India · Hybrid

• Advisory board for Indian Institute of Management Udaipur's (IIM-U) MBA programme in Digital Enterprise Management (DEM). The MBA programme, a first of its kind, looks to train managers and leaders to work in the fast-changing and emerging digital business enterprises.
• https://inc42.com/buzz/iim-udaipur-launches-its-first-course-focussing-on-digital-enterprises/

Sep 2012 – Dec 2014 · 2 yrs 3 mos

• [24]7 a silicon valley based, Sequoia funded company provides software and services that make it simple for consumers to connect with companies to get things done. [24]7 has one of the largest cloud-based, self-service networks in the world, managing more than 2.5 billion consumer interactions annually. [24]7’s software products drive a more intuitive customer experience for consumers interacting with our clients. At their core, [24]7 products are driven by application of machine learning, predictive analytics, real-time decisioning, and data sciences. This capability is created by the Data Science team at [24]7.
• I founded Data sciences team at [24]7 in 2006. I led this organization during my tenure at [24]7 where it grew to be a world-class organization that builds sophisticated predictive solutions to drive a disruptive change in customer service and customer experience. I led a global team based out of Silicon Valley (San Francisco bay area) and Bangalore serving customers in North America, EMEA and APAC.
• The Data Sciences organization is responsible for invention, development, optimization and monetization of all predictive analytics and machine learning driven solutions that form the core of [24]7 Inc’s products and services.

Jan 2008 – Aug 2012 · 4 yrs 7 mos

• My team builds innovative weblog mining/ web analytics, data mining, statistics, machine learning and text mining based solutions to improve customer acquisition, experience and retention. Our clients include market leaders in web retailing, financial services, travel, telecom and technology verticals. The focus of my group was in making customers' interactions with companies more predictive.
• I was based out of San Franscisco Bay area till April 2010 after which I moved to Bangalore

Jan 2006 – Jul 2007 · 1 yr 6 mos · San Francisco Bay Area

• I founded the Innovation Labs for 24/7 Customer. We built innovative solutions for several verticals including web retailing and financial services using advanced statistical/Datamining techniques including logistic regression, cluster analysis, linear and non-linear programming, genetic algorithms, GLM etc.
• We developed predictive models for propensity to buy, cross-sell, up-sell, LTV etc. We also developed text mining solutions to understand customer needs from customer service chats

Jul 2007 – Jan 2008 · 6 mos · San Francisco Bay Area

• I was part of the executive leadership team of Mu Sigma - a company that helps clients institutionalize analytics in their organizations using a global delivery model. I managed the west coast clients.

Jun 2003 – Jan 2006 · 2 yrs 7 mos · Greater Detroit Area

• I created a widely cross-functional analytics community of practice that spanned marketing, sales, manufacturing, research and product development. In this role, I also built and led the implementation of a vehicle volume allocation model (revenue optimisation model) for Ford of South America to increase their profitability and top line. I also introduced the application and use of system dynamics modeling in strategy and organization design.
• I was based out of the Greater Detroit Area, Michigan

Aug 1998 – Jun 2003 · 4 yrs 10 mos · Greater Detroit Area

• I was a Research Scientist at Ford's Scientific Research Laboratories, one of the premier corporate research labs in the world. My research was focussed on the application of mathematical modeling, optimization and large-scale numerical computing to Manufacturing and product design
• As a special developmental assignment during my tenure at Ford Research - I was also responsible for all the environment friendly material technologies implemented in Ford's centennial concept car Model U. The car recieved kudos from press worldwide for its environment friendly architecture in the 2003 Autoshows world over.

Mar 1997 – Jul 1998 · 1 yr 4 mos · Cleveland/Akron, Ohio Area

• I was responsible for CAE, numerical modeling and optimization solutions to drive manufacturing quality and efficiency.

Jul 1996 – Feb 1997 · 7 mos · Greater Detroit Area

• I was a Post-doctoral researcher at Ford Scientific Research Laboratories. I developed and implemented non-linear optimization based mathematical models for Engineering Design that resulted in a US Patent.

Aug 1990 – Aug 1996 · 6 yrs · Madison, Wisconsin Area

• My research work was in the area of applications of mathematical modeling, numerical computing, neural nets, Design of Experiments (DOE) and various optimization techniques in material physics and material design. My research work was funded by National Science Foundation (NSF) and several fortune 500 companies including John Deere, Caterpillar and Ford Motor Company.