Sumit Raut, PhD
About Sumit Raut, PhD
Sumit Raut, PhD, is a Principal Data Scientist at AirAsia, where he has worked since 2022. He has extensive experience in data science and analytics, having held positions at various companies including HPE, FICO, and TCS, and holds a Ph.D. from the Indian Institute of Technology, Kanpur.
Work at AirAsia
Sumit Raut has been serving as the Principal Data Scientist at AirAsia since 2022. In this role, he focuses on leveraging data science techniques to enhance operational efficiency and decision-making processes within the airline. His expertise contributes to various projects aimed at improving customer experience and optimizing resource allocation.
Previous Experience in Data Science
Before joining AirAsia, Sumit Raut held the position of Principal Data Scientist at HPE from 2021 to 2022 in Bangalore Urban, Karnataka, India. He also worked as a Senior Consultant in Analytics at FICO from 2019 to 2021 in Bengaluru Area, India. His career began with a role as Manager of Business Analytics at 24/7 Customer from 2006 to 2007 and included a decade-long tenure as a Senior Scientist at TCS from 2007 to 2017.
Educational Background
Sumit Raut earned his Doctor of Philosophy (Ph.D.) in Industrial and Management Engineering from the Indian Institute of Technology, Kanpur, studying from 2001 to 2006. He also holds a Master of Technology (M.Tech.) in Quality, Reliability, and Operations Research from the Indian Statistical Institute.
Patents and Innovations
Sumit Raut has applied for several patents related to dynamic fleet management, forecasting for seasonal products for markdown, and content margin optimization. He holds a granted patent for a method and system for enabling dynamic capacity planning, showcasing his contributions to advancements in data science and operations research.
Projects and Contributions
In his professional career, Sumit Raut has developed a Tail Assignment Recovery Planning project utilizing Google Cloud Platform, Python, and Cplex. He has also conducted zoning and location clustering for ride-hailing services in Bangkok City, and worked on dynamic pricing strategies for such services. Additionally, he implemented Crew Pairing Planning to reduce crew costs and enhanced capacity planning for cargo through improved forecasting.