Summary
Ashutosh Rawat is a Senior Data Scientist with nine years of experience building ML-driven decision systems for airlines and energy customers, currently leading development of an in-house Revenue Management System at flynas. He combines forecasting, operations research, and LLM applications to drive revenue optimization and automation, having modernized demand-intelligence pipelines and forecasting at Air India. His background spans production ML (Airflow, AWS Lambda, microservices) and research-grade simulation work from Columbia, giving him a rare blend of applied engineering and computational mechanics. Comfortable in fast-paced, cross-functional environments, he also builds AI agents and products that translate complex analytics into intuitive visualizations and scalable systems. Notably, his skill set extends beyond ML into web and DevOps technologies (Ruby on Rails, React, Flutter) enabling end-to-end product delivery.
9 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Kanpur
Doctor of Philosophy - PhD (Dropout), Engineering Mechanics, Doctor of Philosophy - PhD (Dropout), Engineering Mechanics at Columbia University in the City of New York