Sergazy Nurbavliyev, Ph.D.
About Sergazy Nurbavliyev, Ph.D.
Sergazy Nurbavliyev, Ph.D., is a machine learning researcher and scientist with extensive academic training in mathematics and statistics. He currently works at Overstock.com and has a strong interest in reinforcement learning, natural language processing, and advanced statistical methods.
Work at Overstock
Sergazy Nurbavliyev has been employed at Overstock.com as a Machine Learning Researcher/Scientist since 2020. In this role, he applies his expertise in machine learning to develop innovative solutions and enhance the company's data-driven initiatives. His work contributes to the advancement of Overstock's capabilities in utilizing machine learning technologies.
Education and Expertise
Sergazy Nurbavliyev holds multiple degrees in mathematics and statistics. He earned a Bachelor of Arts and Bachelor of Science from Boğaziçi University from 2009 to 2012. He then completed a Master of Science in Mathematical Statistics and Probability at Boğaziçi University from 2013 to 2015. Following this, he obtained a Master of Science in Statistics and a Doctor of Philosophy in Mathematics from the University of Utah between 2016 and 2020. His areas of expertise include nonparametric statistics, Bayesian modeling, reinforcement learning, and natural language processing.
Background
Sergazy Nurbavliyev has a diverse academic and professional background. He worked as a Research Assistant at Boğaziçi University from 2013 to 2015. He also served as a Mathematics Instructor at Suleyman Demirel University in Kazakhstan for a total of 21 months across two separate tenures, from 2012 to 2013 and 2015 to 2016. His experience in academia has equipped him with a solid foundation in teaching and research.
Achievements
During his academic career, Sergazy Nurbavliyev has developed a strong portfolio of work related to machine learning and data science, which he likely shares on his GitHub account. His ongoing academic ties are reflected in his personal webpage hosted by the University of Utah. His research interests encompass a range of advanced statistical topics, including probability theory, stochastic processes, and combinatorics.