Xiaowei Zhu is a graduate student in Data Science at the University of Wisconsin–Madison with a strong mathematical foundation from a bachelor's in Computational Mathematics at Zhejiang University. With nine years of experience spanning research internships and industry roles, Xiaowei has hands-on experience in interpretable machine learning, sparse learning, and practical data engineering using SQL and ETL pipelines. At Alibaba DAMO Academy’s Machine Intelligence Israel Lab they explored links between sparse learning and variational autoencoders and implemented experiments in TensorFlow, while at GUANDATA they translated business needs into dashboard metrics and mobile UI deliverables. Comfortable moving between research and product, Xiaowei combines rigor in algorithmic study with pragmatic skills in data validation and performance testing. Seeking DS/ML engineering roles, they bring both theoretical insight and applied analytics experience, plus an ability to communicate technical findings to stakeholders. An under-the-radar strength is their cross-cultural academic and professional background in China, Israel, and the U.S., which helps them navigate diverse teams and problem contexts.
8 years of coding experience
Master's degree, Data Science, Master's degree, Data Science at University of Wisconsin-Madison
Bachelor's degree, Computational Mathematics, Bachelor's degree, Computational Mathematics at 浙江大学
Contributions:11 commits, 4 pushes, 1 branch in 10 months
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Xiaowei Zhu - Student at University of Wisconsin-Madison