Pritesh Bhoumick

Pritesh Bhoumick is an accomplished Senior Data Scientist at Enbridge since October 2020, recognized for leading the development of an asset failure prediction system that significantly reduced unplanned pipe shutdowns, resulting in substantial cost savings. Prior experience includes serving as an Experienced Associate at PwC, where contributions to Deep Learning models for electricity price forecasting increased revenue by 7-10%, and improved multi-threaded Deep Learning optimization techniques. Pritesh also held roles as a Research Data Scientist at Corva and as a Sperry Drilling Automation R&D Intern at Halliburton, focusing on neural network engineering and real-time drilling optimization. Earlier roles included positions as a Wireline Logging Engineer and Field Engineer, enhancing operational efficiency and providing analytical support in the petroleum industry. Pritesh holds a Master’s degree in Data Science and Analytics and a Master’s degree in Petroleum Engineering from the University of Oklahoma, along with a Bachelor of Technology in Electrical and Electronics Engineering from the National Institute of Technology Karnataka.