Feixiong Zhang
About Feixiong Zhang
Feixiong Zhang is a Data Scientist at SOTI in Mississauga, Ontario, Canada, with a Master of Science in Computer Science from the University of Toronto. He specializes in machine learning, neural networks, and computer vision, and has previously worked as a research intern in the same field.
Work at SOTI
Feixiong Zhang has been employed at SOTI as a Data Scientist since 2020. In this role, he applies his expertise in machine learning to develop data-driven solutions. Prior to this position, he served as a Data Science and Machine Learning Research Intern at SOTI for eight months in 2019. His work at SOTI takes place in Mississauga, Ontario, Canada, where he contributes to various projects that leverage data analytics and machine learning techniques.
Education and Expertise
Feixiong Zhang earned a Master of Science in Computer Science from the University of Toronto, completing his studies from 2018 to 2020. His academic focus included machine learning, neural networks, and computer vision. Prior to his master's degree, he obtained a Bachelor of Applied Science in Engineering from the same institution, studying from 2014 to 2018. His educational background provides a solid foundation for his work in data science.
Background
Feixiong Zhang has a strong academic background in computer science and engineering. He studied at the University of Toronto, where he completed both his undergraduate and graduate degrees. His interests in machine learning and neural networks have guided his academic and professional pursuits. He has engaged in research related to computer graphics during his master's program, further enhancing his knowledge and skills in the field.
Research and Projects
During his master's program at the University of Toronto, Feixiong Zhang was involved in research and projects focused on computer graphics. This experience contributed to his understanding of complex algorithms and data visualization techniques, which are essential in the field of data science. His academic projects have complemented his professional work at SOTI, where he continues to explore advancements in machine learning.