Tianyang Zhou from 18 Williams St, Arlington, MA 02476, age 39

Tianyang Zhou Phones & Addresses

18 Williams St, Arlington, MA 02476
Waltham, MA
Sharon, MA
Weymouth, MA
Manchester, CT
Plymouth, MN
San Jose, CA

Work

Company:

Walleye trading
Nov 2012
Address:

Greater Minneapolis-St. Paul Area
Position:

Quantitative analyst

Education

Degree:

PhD
School / High School:

University of Minnesota-Twin Cities
2007 to 2013
Specialities:

Statistics

Skills

R • Time Series Analysis • Sas • Statistics • Data Mining • C • C++ • Statistical Modeling • Predictive Modeling • Bayesian Statistics • Machine Learning • Algorithms • Stochastic Processes • Unix Shell Scripting • Java • Python • Regression • Hive • Apache Pig • Git • Text Mining

Ranks

Certificate:

Neural Networks and Deep Learning

Interests

Traveling • Chess • Statistical Modeling • High Frequency Trading • Market Making • Data Mining • Music Composing

Industries

Financial Services

Resumes

Lead Data Scientist

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Location:

18 Williams St, Arlington, MA 02476

Industry:

Financial Services

Work:

Walleye Trading - Greater Minneapolis-St. Paul Area since Nov 2012
Quantitative Analyst
Knight Capital Group - Santa Clara, CA Jun 2012 - Aug 2012
Quantitative Analyst Intern
Travelers - St paul, minnesota May 2011 - Aug 2011
R&D Intern
Travelers - Hartford, Connecticut Area May 2010 - Aug 2010
R&D Intern

Education:

University of Minnesota-Twin Cities 2007 - 2013
PhD, Statistics Peking University 2003 - 2007
B.S, Mathematics, Economics

Skills:

R
Time Series Analysis
Sas
Statistics
Data Mining
C
C++
Statistical Modeling
Predictive Modeling
Bayesian Statistics
Machine Learning
Algorithms
Stochastic Processes
Unix Shell Scripting
Java
Python
Regression
Hive
Apache Pig
Git
Text Mining

Interests:

Traveling
Chess
Statistical Modeling
High Frequency Trading
Market Making
Data Mining
Music Composing

Certifications:

Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Structuring Machine Learning Projects
Introduction To Recommender Systems: Non-Personalized and Content-Based
Nearest Neighbor Collaborative Filtering
Convolutional Neural Networks
Text Mining and Analytics
Deep Learning Nano Degree