Fan Zhang
Summary
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SeniorFan Zhang is a machine learning researcher with 11 years of experience applying statistical modeling, big data algorithms, and graph computation to real-world problems from Shenzhen. With a strong physics background (Duke, Shanghai Jiao Tong, Purdue graduate research) he blends rigorous hypothesis testing and C++/Python engineering to build visualization and event-modeling tools and improve model sensitivity. At OPPO he focuses on graph computing for ML systems, and earlier work included large-scale warehouse analytics supporting daily billion-scale records and lifecycle analysis for AGV robots. Proficient in TensorFlow, Keras, Spark and SQL, Fan is a pragmatic researcher who also enjoys continuous learning and translating complex research into production-ready analytics.
11 years of coding experience
Github Skills (13)
lpc10
tla8
git6
python5
deep-learning5
graph5
machine-learning4
pytorch4
graph-embedding3
self-attention3
graph-neural-network2
combine2
representation-learning1
Programming languages (2)
Github contributions (5)
fanfanman/fanfanman.github.io
Mar 2016 - Nov 2016
Contributions:22 pushes in 8 months
jekyll-blogjekyll-blog-themejekylljekyll-theme
keweiyao/Project-B-PHY566
Apr 2015 - Dec 2015
Contributions:9 pushes, 3 comments, 3 issues in 8 months
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