Zijun Zheng
Senior Analyst at PayPal
United States
Summary
👤
Senior🎓
Top SchoolZijun Zheng is a data-driven senior analyst with 10 years of experience applying advanced statistical and machine learning techniques to finance and economic research. Trained in Financial Economics and Statistics at the University of Toronto and holding an MA in Computational Social Science from the University of Chicago, he blends rigorous academic methodology with practical analytics deployed at firms like Charles River Associates and PayPal. He is proficient in Python, R, SQL and frameworks such as PyTorch and TensorFlow, and regularly works with finance databases including Compustat, CRSP and Thomson Reuters. His research portfolio spans market volatility, fund management and large-scale data modeling, with hands-on experience implementing GMM, PCA, CNNs and spline interpolation for real-world problems. Known for turning complex econometric concepts into clear, actionable insights, he also brings consulting experience that sharpens stakeholder communication and impact-focused analysis.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree Financial Economics & Statistics, Bachelor's degree Financial Economics & Statistics at University of TorontoMaster of Arts - MA Computational Social Science, Master of Arts - MA Computational Social Science at University of Chicago
Github Skills (24)
vue9
js8
extensible8
cli8
android8
modular8
functional-programming7
javascript7
ios7
tagless-final7
scala7
webpack7
typescript7
flutter7
documentation6
Programming languages (4)
Github contributions (5)
qkorbit/Api
May 2017 - Apr 2019
Contributions:1 PR, 15 pushes, 1 branch in 1 year 10 months
javascriptajaxajax-library
iofod/builder
Mar 2020 - Dec 2021
Contributions:2 pushes, 1 branch in 1 year 9 months
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