Mayank holds a Ph.D.in pure mathematics from The University of Texas at Austin, an M.S. in mathematics from Texas A&M university, and a BTech in electrical engineering from IIT Bombay.
Mayank is an expert in probability theory, and has used Python extensively in the modelling and analysis of various stochastic processes in his graduate research. He is passionate about application of probability and statistics in the design of machine learning algorithms.
In his free time, Mayank enjoys working on DIY projects and biking.
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