Machine Learning and Data Science Leader @ Uber
North Bergen, New Jersey, United States
What company does Zhanyang Zhang work for?
Zhanyang Zhang works for Uber
What is Zhanyang Zhang's role at Uber?
Zhanyang Zhang is Quantitative Lead
What industry does Zhanyang Zhang work in?
Zhanyang Zhang works in the Information Technology and Services industry.
Who are Zhanyang Zhang's colleagues?
Zhanyang Zhang's colleagues are Catherine Favier, Totte Harinen, Thales Machado, Minal Jain, Aditya Kapoor, Zhuang Liang, Yan Zhang, Martin Dam, Darrin Dufort, and Carlos Henríquez
📖 Summary
10+ years experience in quantitative analysis, data mining/machine learning 4+ years experience in financial risk managementQuantitative Lead @ From June 2015 to Present (7 months) Quantitative Operational Associate II, VP @ Performed research, development and execution in both new account acquisition and existing accounts management models to support consumer business strategies including credit card, checking, saving and wealth management. - Managed variety of models by closely monitoring and tracking their performances and providing consultation to business partners. - Led research and adoption of latest techniques in data mining and predictive modeling, including feature selection, dimension reduction and shrinkage estimators such as boosting trees. From May 2011 to June 2015 (4 years 2 months) Doctor of Philosophy (PhD), Statistics/ Machine Learning @ University of Michigan From 2007 to 2011 Master, Math/Statistics/Finance @ University of Waterloo From 2005 to 2007 Bachlor, Math/Stats/Finance @ University of Science and Technology of China From 2001 to 2005 Zhanyang Zhang is skilled in: R, SAS, Quantitative Finance, Financial Modeling, Matlab, Statistics, Quantitative Analytics, C, SQL, Statistical Modeling, Data Mining, SPSS, Predictive Modeling, LaTeX, C
Extraversion (E), Intuition (N), Thinking (T), Perceiving (P)
2 year(s), 4 month(s)
Unlikely
Likely
There's 89% chance that Zhanyang Zhang is seeking for new opportunities
Enjoy unlimited access and discover candidates outside of LinkedIn
Trusted by 400K users from
76% of Fortune 500 companies
The most accurate data ever
Hire Anyone, Anywhere
with ContactOut today
Making remote or global hires? We can help.
No credit card required