William Gu is a data scientist-in-training pursuing an MS in Data Science at Columbia with a BS in Electrical and Computer Engineering from UT Austin and eight years of industry experience spanning JPMorgan Chase, Nokia Bell Labs, Synyi, and LPL Financial. He has applied data science and middleware engineering skills across finance and telecom, moving models from research to production and integrating analytics into enterprise systems. William blends strong problem-solving and multitasking skills with practical experience in distributed systems and data pipelines, enabling measurable business impact. He is especially drawn to large-scale data insights and has a track record of internships and co-op roles that accelerated his applied ML and engineering chops. Based in San Diego, he combines academic rigor with hands-on industry delivery and is actively seeking data science internship opportunities. His background in both hardware-focused computer engineering and software/data roles gives him a pragmatic edge in bridging model development and production constraints.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at The University of Texas at Austin
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Columbia University in the City of New York
Contributions:4 PRs, 8 pushes, 8 branches in 1 month
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William Gu - Student at LPL Financial Holdings Inc