Sumathi Chakravarthy, Managing Director
Sumathi is an Experienced Industry Leader who has in the past worked in some of the leading companies in the world such as Amazon, Subaru, and Wipro. She received her Masters in Business Administration from Purdue University, US, and Bachelors in Computer Engineering from Anna University, India. She also specializes in Machine learning and Business Analytics.
As a Partner and Director of Infinite Sum Modelling, she brings in statistical and analytical perspectives to problem-solving and works on data ingestion and handling, statistical analysis, and GTAP – CGE modeling. Such statistical inferences and the economic modeling insights were used by different clients, including Commonwealth, United Nations, Economist, Organization of Islamic Corporation, Smoke-Free Foundation, ECIPE, and Inter- American Development Bank, in the areas of trade, digital data regulations, supply chain, ports and transportation/logistics. She has also developed a MyGTAP model capturing household and factor heterogeneity for all LDC countries as part of an initiative by ILO. She co-partnered with Piktorlabs to launch InfiSum’s first official product, the data and visualization platform for global supply chain modeling. As a part of its launch, she undertook research on user attributes, data mapping, and analytics.
During her previous tenure at Amazon as a Senior Product Manager- Sustainability and as an Operations Manager- Amazon Shipping and Delivery Support, she has worked on several flagship initiatives, notably in the launch and operation of Ship With Amazon (SWA), Amazon’s Sustainability Program, Amazon Key, Ship in its own container (SIOC) – the customer packaging experience program and so on. She has also led Amazon’s virtual contact center operations for seven different business lines.
Sumathi is a SAS Certified Business Analyst since April 2015. She has also published a paper on the ‘Economics of Recommendation Systems: The Role of Customer Responsiveness to Prices and Quality’ in Social Science Research Network (SSRN). [Paper ID: 2468790. (Co-authored with Badri Narayanan G.)].
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