Ramanish Singh

Ramanish Singh is an accomplished professional with a strong academic background in Chemical Engineering and Data Science. Currently serving as a Machine Learning Engineer at Meta since August 2024, Ramanish previously worked as a Python Software Development Intern at Applied Materials, where significant improvements in computational efficiency were achieved through the development of a reduced order plasma chemistry model. As a Machine Learning Intern at Dow, Ramanish innovated a method for defect detection in recycled polyethylene films, achieving over 95% prediction accuracy. Ramanish's educational credentials include a Doctor of Philosophy from the University of Minnesota, a Master's degree in Data Science with a perfect GPA, and a dual degree from the Indian Institute of Technology, Kanpur, showcasing exceptional academic performance.