Shanun Randev
About Shanun Randev
Shanun Randev is a Graduate Assistant at The George Washington University, focusing on data science and deep learning. With over 3.5 years of industry experience, he has previously worked at o9 Solutions, Inc. and holds a bachelor's degree in Electrical, Electronics and Communications Engineering.
Current Role at The George Washington University
Shanun Randev serves as a Graduate Assistant at The George Washington University since 2024. In this role, Randev contributes to academic projects while pursuing a Master of Science in Data Science, which is expected to be completed in 2025. The position allows Randev to apply knowledge in data science and deepen expertise in the field.
Professional Experience in Data Science
Shanun Randev has over 3.5 years of industry experience in data science. Randev worked at o9 Solutions, Inc. as a Data Scientist from 2021 to 2023, focusing on leveraging deep learning for AI-powered features. Prior to this, Randev held positions at IESL NZ and crossML as a Data Scientist, and completed multiple internships in machine learning and embedded systems.
Educational Background
Shanun Randev earned a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from Maharaja Agrasen Institute of Technology, Delhi, from 2016 to 2020. Randev is currently pursuing a Master of Science in Data Science at The George Washington University, with studies extending from 2023 to 2025.
Internship Experience
Shanun Randev has completed several internships that contributed to the development of skills in machine learning and embedded systems. Randev interned at airtel and Netmax Technologies Pvt Ltd in 2019, and worked as an Embedded System Engineer at the Centre for Development of Advanced Computing in 2018. These experiences provided foundational knowledge in data-driven solutions.
Focus on Deep Learning and AI
Shanun Randev has a strong focus on leveraging deep learning to enhance AI-powered features. This specialization is evident in Randev's work at o9 Solutions, Inc. and throughout various roles in data science, demonstrating a commitment to advancing enterprise data and analytics strategies through cutting-edge technologies.