About

Omkar Ajnadkar is a highly motivated and skilled Quantitative Software Engineer at Goldman Sachs, with a passion for machine and deep learning. He is currently pursuing his Master of Science in Computer Science at The University of Texas at Dallas, set to graduate in May 2022. Omkar has a strong background in data science, machine learning, and full-stack web development, having worked in various startups in these domains. Omkar's expertise extends beyond his professional experience, as he is also a published researcher in the fields of computer vision and natural language processing. He has even served as a Google Explore ML Facilitator, helping to train students in machine learning on campus. Omkar is also an active participant in hackathons and side projects, always seeking to expand his knowledge and skills. Currently, Omkar is working part-time as a Data Analyst and Web Developer with ArtSciLab, where he is responsible for analyzing data and developing web applications. His past experience includes working as a Web Developer at ArtSciLab and a Software Development Engineer at The University of Texas at Dallas. Omkar is a highly educated individual, having earned his Bachelor of Technology in Computer Science from the Indian Institute of Information Technology in 2020. He also holds certifications in front-end development from Free Code Camp. Omkar's technical expertise includes web development, software engineering, machine learning, computer vision, deep learning, natural language processing, and data science. With 0.86 years of relevant experience, Omkar is a highly skilled and knowledgeable professional who is always seeking to improve his skills and stay up-to-date with the latest technologies.