Wenbo Yu is a results-driven model risk analyst based in New York with eight years of experience translating data science into risk-aware decisioning. Since May 2022 he has been applying quantitative risk analytics at M&T Bank, combining engineering rigor with financial risk governance. He also contributes to education as a Data Science Teaching Assistant at Chegg and previously built data science solutions as an Associate Data Scientist at TBWA\Chiat\Day and as a Software Engineer at Catchpoint. His academic foundation includes a BS in Electrical and Computer Engineering and an MS in Computer Science from NYU, reflecting a strong blend of theory and hands-on development. His GitHub portfolio at Wenbo-Git highlights practical projects that span data science and software engineering, underscoring a hands-on, results-oriented approach to complex problems.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at New York University
High School Diploma, High School Diploma at International High School At Lafayette
Contributions:2 PRs, 25 pushes, 2 branches in 8 months
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