Hao Xu has a Master's degree in Mathematics Science from Binghamton University and a Bachelor's degree in Mathematics Science from the University of Wisconsin Superior. He has skills in programming languages like R, Java, and SAS and statistical analysis methods including regression, survival, and classification analysis. Some of his projects involved applying statistical methods to chemistry data, linear regression analysis of college student income, non-linear regression on pharynx patient data, and classification of activities using smartphone sensors. His work experience includes being a statistical analyst collecting and modeling housing data and serving as head proctor in Binghamton University's math department.

1. Hao Xu
35 Floral Ave, apt 2, Binghamton, NY 13905
Hxu27@binghamton.edu | (313)9790-3666
EDUCATION
Binghamton University, State University of New York
Master of Science in Mathematic Science, May 2016
Statistic Direction (GPA 3.251)
University of Wisconsin Superior
Bachelor of Science in Mathematic Science, Chemistry Minor, May 2014
Major GPA 3.91, Cumulative GPA 3.14
Honors: Vice Chairman of CSSA in UW-Superior, award of academic excellence and
scholarly achievement at UW-superior, UW-Superior Foundation Scholarship, the
NTW Scholar Award.
SKILL
Programing Language: R, Java, SAS
Statistical Analysis Method: Regression Analysis, Survival Analysis,
Classification Analysis and Game Theory
Software: Microsoft office include word, excel, power point; LaTex editor.
Language: English (Listen, speak, read and write), Chinese (Listen, speak, read and
write).
PROJECTS
Plastic pollution situation in Twin-port (Superior WI, Sept 2013)
 Applying statistic method into Chemistry quantity analysis and conclude the
pollution situation among Twin-port in Wisconsin and Minnesota.
Linear regressionanalysis for college students’ income of the U.S. (Binghamton,
Sept 2015)
 Applying linear regression strategy into real case analysis
 Dealing with large data set which includes missing value, outliers issue
 Model interpretation and analysis conclusion
Non-linear regressionanalysis for pharynx patients. (Binghamton, May 2016)
 Applying additive model and multinomial regression model fit the data set
 Model interpretation and report writing
Classification of Basic Activities using Smartphone Sensor Data (Binghamton,
May 2016)
 Compare different classification methods and find out the theory foundation.
 Applying PCA to deal with highly collinearity between predictors
WORKING EXPERIENCE
Statistic Analyst in Soufang.com 2014/5-2014/8
 Collect housing market data
 Apply statistics method into the big data and compose mathematics model
Head proctor in math department of Binghamton University 2015/1- 2016/5