Yuqian Zhuang is a data scientist specializing in computational linguistics and NLP, with nine years of experience and a master's focus from UBC. She applies machine learning and deep learning to real-world problems—recently building predictive models of suicidality and contributing NLP expertise at the UBC Data Science Institute. Her toolkit includes Python, R, and SQL, supported by coursework in machine translation, parsing, semantics, and both supervised and unsupervised learning. Comfortable bridging research and production, she has interned as an NLP engineer and collaborated on psychiatric research, demonstrating a knack for translating linguistic insight into actionable models.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Data Science in Computational Linguistics, Master's degree, Data Science in Computational Linguistics at The University of British Columbia
Contributions:18 commits, 2 PRs, 13 pushes in 2 months
numerical-analysispythonseu
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