Xiang He is a data scientist with nine years of experience applying machine learning and NLP to streamline internal business processes and optimize resource allocation, currently working at Deutsche Bank and DXC Technology in the New York City area. He builds production-ready dashboards in Python and experiments with generative AI on Google Cloud Platform to translate models into measurable business impact. A Cambridge-trained operations researcher, he combines rigorous quantitative thinking with hands-on engineering—having developed macOS software since 2016, a detail that highlights his breadth across platforms. Known for bridging analytics and product needs, he focuses on pragmatic solutions that improve operational efficiency and decision-making.
9 years of coding experience
Master's degree, Operations Research, Master's degree, Operations Research at University of Cambridge
Contributions:46 commits, 16 PRs, 32 pushes in 5 months
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