Abhilash (Abhi) Kalyani
About Abhilash (Abhi) Kalyani
Abhilash Kalyani is a Principal Product Manager at Convoy Inc, where he has contributed to a 40% annual revenue growth rate through his leadership in product strategy for marketplace dynamic pricing. He holds an M.B.A. from The University of Chicago Booth School of Business and has extensive experience in engineering, data science, and quantitative research.
Work at Convoy
Abhilash Kalyani has been serving as Principal Product Manager at Convoy Inc since 2017. In this role, he leads product strategy and vision, focusing on marketplace dynamic pricing. His contributions have been significant, including driving a 40% annual revenue growth rate. Kalyani's expertise in product management has helped shape Convoy's approach to pricing and customer insights, enhancing overall operational efficiency.
Previous Experience at Versive
Before joining Convoy, Kalyani worked at Versive, formerly known as Context Relevant, from 2015 to 2017 as Director of Engineering and Data Science. During his two years in this role, he contributed to the development of data-driven solutions and strategies that supported the company's objectives in the Greater Seattle Area.
Career at Citadel Investment Group
Kalyani's career includes a decade-long tenure at Citadel Investment Group, where he worked as a Quantitative Researcher from 2004 to 2014. His role involved analyzing complex data sets and developing quantitative models to inform investment strategies, contributing to the firm's competitive edge in the financial industry.
Education and Expertise
Abhilash Kalyani holds a Master of Business Administration (M.B.A.) from The University of Chicago Booth School of Business, where he studied Finance, Economics, and Strategy. He also earned both a Bachelor of Science (B.S.) and a Master of Science (M.S.) in Computer Science from the University of Illinois Urbana-Champaign. His educational background supports his expertise in product management, data science, and quantitative analysis.
Achievements in Dynamic Pricing
Kalyani has implemented deep learning models to enhance decision-making processes in dynamic pricing and cost forecasting. His initiatives have led to a 95% annual margin expansion by integrating customer and economic insights with optimization technology, demonstrating his impact on the financial performance of the organizations he has worked with.