Yang Chen is a highly skilled software engineer with a strong background in data science and engineering. Education includes a Bachelor's degree in data science from the University of Michigan and a Bachelor's degree in Electrical and Electronics Engineering from Shanghai Jiao Tong University, currently pursuing a Master's degree in Computational Data Science at Carnegie Mellon University. Experience spans various roles, including a Software Engineer Intern at Arborsense, Inc., where a Python-based software application was developed to process alcohol detection data, achieving notable accuracy. Additional research experience at the University of Michigan involved proposing a new out-of-distribution detection model and conducting A/B testing for data analytics projects. Previous internships at TCL Research America and Meta focused on enhancing animation through machine learning and working on recommendation systems, respectively.
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