Gautham Bekal

Gautham Bekal is a skilled professional currently employed as a Data Scientist at T-Mobile, focusing on device & supply chain analytics utilizing Deep Learning & Machine Learning algorithms in collaboration with Operational Researchers.

His academic background includes a Master of Science (MS) in Computer Engineering from the University of North Carolina at Charlotte, where he maintained a 3.6 GPA. Prior to this, he completed his Bachelor of Engineering (BE) in Electronics Engineering at the University of Mumbai with a remarkable GPA of 3.8.

During his academic journey, Gautham held a Research Assistant position in Deep Learning for Computational Fluid Dynamics simulation under Dr. Minwoo Lee & Dr. Navid Goudarzi at the University of North Carolina at Charlotte. He also worked as a Teaching Assistant at the same institution.

In terms of practical experience, Gautham has served as a Data Engineer Intern at Informative Technologies Inc, where he was involved in data extraction, exploratory data analysis, and machine learning tasks. Additionally, he has worked as a Software Engineer at LTI - Larsen & Toubro Infotech.

His expertise spans various fields including Deep Learning, Machine Learning, Computational Fluid Dynamics, data extraction, exploratory data analysis, and supply chain analytics. Gautham's dedication to leveraging advanced algorithms and his diverse background in both academia and industry make him a valuable asset in the field of data science and analytics.