Weicheng Zhu is an applied scientist based in New York with 11 years of experience bridging academic research and industry machine learning applications. He completed advanced data science training at NYU (MS, PhD work) and transitioned through multiple applied scientist internships at Amazon and a research internship at Pinterest before joining Amazon as a full-time applied scientist. His background blends rigorous mathematical foundations from a BS in Honors Mathematics with hands-on experience deploying models and analytics in production environments across healthcare, advertising, and e-commerce. Comfortable moving between research and product teams, he has a track record of turning PhD-level methods into practical solutions during internships and research assistantships. Colleagues would note his knack for translating complex models into measurable business metrics—an attribute honed by diverse internships from AIG to NYU Langone.
11 years of coding experience
4 years of employment as a software developer
Master's degree MS for Data Science, Master's degree MS for Data Science at New York University
Bachelor of Science - BS Honors Mathematics, Bachelor of Science - BS Honors Mathematics at NYU Shanghai
Doctor of Philosophy - PhD Data Science, Doctor of Philosophy - PhD Data Science at NYU Center for Data Science
Contributions:4 commits, 5 pushes, 1 branch in 7 days
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