About

Mehul Kohli is an Associate Software Engineer at Veeva Systems with a passion for data science and a drive to create positive change through technology. With a Master of Science in Computer Science (Data Science) from the University of Southern California and a Bachelor of Technology in Computer Science from Manipal University, Mehul has gained proficiency in programming languages such as Python, R, SQL, and Java, as well as frameworks like TensorFlow and Spark. Mehul has experience working as a Computer Science Graduate Research Assistant at the USC Marshall School of Business, where he worked on a research project related to the political affiliations of executives and patent examiners. His duties included performing probabilistic record linkage using the FastLink Algorithm and pre-processing datasets to draw useful insights from them. He also assisted with regression analysis based on these insights. As a Computer Vision and Machine Learning Intern at Frenzy.ai, Mehul's duties included building H-CNN and R-CNN models using TensorFlow, training new models from ground truth data, optimizing the prediction process, and developing an NLP framework to enhance classification performance. Outside of work, Mehul is an enthusiastic chess player with a FIDE rating of 1466, which has helped him develop strategic thinking skills when dealing with challenging problems. Mehul's tech stack includes skills in software engineering, research science, AI, CNN, computer vision, data science, ML, ResNet, deep learning, and NLP. With 1.77 years of relevant experience, Mehul is a driven and talented software engineer with a passion for data science and a desire to create positive change through technology.