Xinxin Zhu
Staff Data Scientist
Atlanta Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolXinxin Zhu is a Staff Data Scientist with 12 years of experience applying deep learning and statistical modeling to drive revenue and operational impact across media, healthcare, insurance, and energy. She blends a PhD-level foundation in statistics with hands-on production ML/AI work at Warner Bros. Discovery and predecessor companies, turning research into scalable solutions for content and business challenges. Her background includes predictive modeling, probabilistic forecasting, and end-to-end deployment using tools from SAS and R to Python and Hadoop, reflecting both academic rigor and industrial pragmatism. Notably, she moved from wind-energy forecasting research into commercial analytics, a transition that highlights her ability to translate complex probabilistic methods into profitable product features. Based in the Atlanta area, Xinxin combines domain versatility with a deep learning focus and a track record of mentoring and leading cross-functional initiatives.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at Texas A&M UniversityZhejiang University
English
Github Skills (9)
convolutional-neural-networks4
python-codes3
face-detection3
pytorch2
python1
consensus1
evaluation1
image-processing1
cider1
Programming languages (2)
Github contributions (5)
AMDS123/amds123.github.io
Dec 2017 - Sep 2019
Contributions:42423 commits, 40183 pushes in 1 year 9 months
AMDS123/mul_gpustat
Dec 2017 - Aug 2019
Contributions:80 commits, 75 pushes, 1 branch in 1 year 8 months
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