About

Shubhanshu Chauhan, Ph.D., is a highly experienced Particle Physicist with a passion for analyzing petabyte-scale datasets. With over 6 years of experience leading teams of researchers in a multinational collaboration of more than 3000 scientists, he has developed a deep understanding of data modeling, pattern recognition, machine learning, statistics, data cleaning and filtering, multivariate techniques, high throughput grid computing, parallel computing, and Monte Carlo simulations. Currently serving as the Tech Lead Data Scientist at NICE Actimize, Shubhanshu is responsible for devising powerful and efficient algorithms and frameworks to extract impactful results. He has a proven track record of delivering high-quality results and has worked on several projects that have been recognized for their innovation and excellence. Shubhanshu's education history includes a Doctor of Philosophy in Elementary Particle Physics from the Indian Institute of Science Education and Research (IISER), Pune, an MSc in Physics from IIT, and a BSc in Physics and Mathematics from Mahatama Jyotiba Phule Rohilkhand University. His technical skills include expertise in Research Scientist, Data Scientist, Senior Software Engineer, Python, test, ML, C, Deep Learning, and Search. Shubhanshu is a tech enthusiast and has contributed significantly to the open-source community. Some of his open-source code samples can be found on Github and Gitlab. With 2.27 years of relevant experience, Shubhanshu is a highly motivated individual who strives for excellence in everything he does. He is a quick learner, an excellent communicator, and a team player who enjoys working in a collaborative environment.