About

Vaibhav Saraf is a highly skilled Machine Learning Engineer with 2.86 years of experience in the field. Currently, he is working as a Graduate Teaching Assistant at Khoury College of Computer Sciences. In his current role, he is responsible for assisting students with their coursework and projects related to Machine Learning. Previously, Vaibhav has worked as a Machine Learning Engineer at Auxi, where he was responsible for developing and implementing Machine Learning algorithms to solve real-world problems. He has also worked as a Campus Ambassador at GeeksforGeeks, where he was responsible for promoting the brand and organizing events. Vaibhav holds a Master of Science degree in Data Science from Northeastern University, where he completed his studies in 2020. Prior to that, he completed his Bachelor of Engineering in Information Technology from RAIT in 2018. Vaibhav's technical expertise lies in Machine Learning, and he has a strong understanding of various Machine Learning algorithms and techniques. He is proficient in Python and has experience working with libraries such as Pandas, NumPy, and Scikit-learn. With his strong technical skills and experience, Vaibhav is a valuable asset to any organization looking to leverage Machine Learning to solve complex problems. He is passionate about exploring new technologies and applying them to solve real-world problems.