Arnav Saxena is a Machine Learning Engineer with a knack for problems where the data is messy, the requirements are fuzzy and the path forward isn't obvious. He holds a Bachelor of Technology (B.Tech) in Applied Mathematics from Delhi Technological University, India and a Master of Science (M.S.) in Data Science from Columbia University, NY. Currently a Machine Learning (ML) Engineer at Evidium, his career spans five years across consulting and startups - two years at Bain & Company as an Analyst/Associate, followed by three years in data science roles at two early-stage companies. Arnav works at the intersection of mathematical foundations and practical application, building frameworks that turn uncertain situations into useful insights and helping teams make better decisions with incomplete information.
Healthcare does not lack the data needed to better understand oncology costs. What it does lack is a consistent way to connect clinical progression with financial impact in a time frame that aligns with strategic planning.