About

Umang Gupta is a highly skilled Strats Associate with over 4 years of experience as a Data Science/ML and Software Engineer. He is currently working at Goldman Sachs in Bangalore, India, where he is a Data Science/ML Engineer in the Core Engineering Division. Umang is a winner of the GS DB-AD Global Hackathon'21, where he received recognition for his innovative submission and model performances. Umang's academic background is impressive, having earned a Bachelor's degree in Computer Science Engineering from NIT Trichy in 2018. He has also published a technical research paper in the IEEE International Conference on Communication and Signal Processing-2017 (ICCSP'2017), which received recent citations in other published research papers. His paper focused on optimizing medium access using integer sequences in wireless networks, and it was based on his project "Optimized Pessimistic Jacobsthal Fibonacci Catalan Backoff Algorithm (PJFCB)" in the field of Mobile Adhoc Wireless-Networks (MANETs). Umang has worked at Goldman Sachs as a Strats Analyst, where he was responsible for data science/ML and software engineering in the Engineering Division. He has also volunteered in the Louisa User Research Initiative as part of the GS Accelerate Program for entrepreneurship, providing useful and innovative feature insights and intelligence ideas for the Louisa platform in GS. Umang's technical expertise includes ML, Data Science, Research Science, Software Engineering, and Mobile. He has exceptional skills in these areas, making him a valuable asset to any organization.