Zijing Wang is an accomplished Data Scientist II at MongoDB, with a wealth of experience in data science and machine learning. Zijing's career began as a Data Science Intern at MongoDB and includes a tenure at ViacomCBS as a Data & Machine Learning Intern, as well as a Data Science Intern role at Motovis, where significant contributions were made to the SegNet architecture and urban image analysis. Zijing also conducted research on Bayesian models at the University of Illinois at Urbana-Champaign and completed a data analysis internship at OK Insurance, enhancing vehicle coverage modeling. Zijing holds a Master's degree in Data Science from Columbia Engineering and an undergraduate degree from the University of Illinois Urbana-Champaign.
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