Deepak studied Mathematics and statistics at the Indian Statistical Institute, during his undergrad. To advance his studies, he moved to Bonn, Germany where he completed his Master’s in Mathematics. During his Master’s, he was mainly interested in probability, mixing times, Markov chain Monte Carlo methods, as well as machine learning and reinforcement learning. In his thesis, he applied deep reinforcement learning techniques to optimize energy asset portfolios.
At StatML, Deepak with his advisor Agni Orfanoudaki wishes to develop machine learning algorithms to solve the single-resource airline revenue management problem. Further, they plan to run a pilot program to validate the performance of these algorithms in a real-world setting. In his spare time, Deepak likes to cycle, lift weights, and cook food to sustain his other hobbies.
