Vikram Pandya, PhD, is a Data Scientist at Halliburton Landmark, responsible for developing data driven and physics based models for various complex engineering situations. He teaches Bayesian optimization in Landmark boot camps, and has been involved in multiple projects at Halliburton and held multiple academic positions. His fields of research are Machine Learning, Artificial Intelligence, Data Driven, Computational and Theoretical Modelling, Fluid Mechanics, Turbulence and Thermal Sciences. Vikram has a B.Tech and a PhD in Mechanical Engineering from the Indian Institute of Technology, Bombay.