About

Nimish Agarwal is an accomplished Analyst at Goldman Sachs with a focus on utilizing data science techniques in the financial industry. He is a graduate of the esteemed Indian Institute of Technology Kanpur, where he gained a wealth of knowledge and experience in machine learning and data analytics. With a passion for these exciting fields, Nimish has honed his technical competencies and gained diverse work experience that he applies across different domains. Nimish is a skilled leader, having led the development of software used by thousands of real-world users. He is currently a member of the Marcus Fraud Strategy Team at Goldman Sachs, where he applies his expertise to detect and prevent fraudulent activities. Nimish's work has been recognized with a Pre-Placement Offer for his outstanding contributions to fraud detection. In addition to his work at Goldman Sachs, Nimish has also served as a Researcher at the COMSNETS 2021 - Intelligent Transportation Systems Workshop. Here, he published and presented a research paper titled "Camera-based Smart Traffic State Detection in India using Deep Learning Models," showcasing his expertise in computer vision and AI. Nimish's educational background includes a Bachelor of Technology degree from IIT Kanpur, where he graduated in 2021. Prior to this, he completed his XII from Air Force School, Agra, in 2016, with a focus on science. Nimish's technical competencies include research scientist, ML, data scientist, deep learning, computer vision, AI, frontend, and backend. With 1.43 years of relevant experience, Nimish is a highly skilled professional with a passion for utilizing data science techniques to drive business success.