Statistician

XINYUE ZHANG

**** ***** **** **** ● Elkton, MD **921 ● 202-***-**** ● *********.**@*****.***

EDUCATION

May 2016

June 2014

The George Washington University, Washington, D.C. Master of Science in Statistics

Overall GPA: 3.7/4.0

Relevant Coursework: Data Analysis; Statistical Computing; Survival Analysis; SAS Program Data Management; Database Management Systems; Applied Linear Models; Applied Multivariate Analysis Central South University, Changsha, China

Bachelor of Engineering in Chemical Engineering and Technology

Awards/Honors: Central South University Scholarship (2011-2013), National Undergraduate Innovation Research Award (2014)

EXPERIENCE

October 2016

February 2016

-May 2016

June 2015

-August 2015

January 2016

-May 2016

DuPont Stine Haskell Research Center, Newark, DE

Bioinformatics Scientist, Crop Protection Department

Analyze the impact of different herbicide compounds on certain crops at various rates running SAS macro and compare them with standard treatments in market through equivalence tests and piano chart

Study the phytotoxicity of herbicide compounds by constructing multinomial mixed model with experimental data and present to biologists using mean separation to distinguish these compounds

Estimate mortality of insects from particular species performing binomial mixed model regarding timing as a random factor and acquire 95% confidence interval for each treatment through simulation method

Assist biologists in insecticide experiment design, building contingency table to choose experimental insects from all candidates, to optimize sources and timing for experiment process

Maintain and update SAS macro library for regularly modeling and reporting for agriculture field trial

Validate the R application developed for statistical analysis and visualization especially for biologists Statistical Consulting Project, Flipped Classroom versus Traditional Classroom

Assisted Professor Majeda from GWU Nursing School, designing study approaches, experiment and survey details for her experiment about a new teaching method Flipped Classroom

Performed exploratory data analysis and Wilcoxon Rank Sum test for brief understanding after data collection, cleaning and visualization were completed to experiment and survey data by SAS and R

Conducted Crossover Repeated Measurement Design to further compare the difference between two teaching methods by constructing Linear Mixed Model, which better controlled the carryover effects

Utilized Chi-squared test to study the correlations between scores, demographic and survey variables UnionPay Advisors, Shanghai, China

Data Analysis Intern

Leveraged SAS application and extensive datasets with about 110 million real-time transaction data from about 9 million cards to update Wallet Position Model and execute quantitative analysis

Revised model parameter by cluster method and decision tree by Proc sql and Macro queries

Performed cross validation method to analyze new model properties and cards using status profiling

Built Logistic Regression Model to target most profitable clients for offering more products further

Interpreted data as reports to show cards consumption patterns and actionable solutions for clients American Enterprise Institute, Washington, D.C.

Economic Policy Intern, Office of Michael Strain

Amassed policy data about Medicaid and CHIP from government sources such as State Legislation and Bureau of Labor Statistics, to obtain macro-economic variables including minimum wage

Manipulated data including eliminating missing values, concatenating and merging by applying Stata

Created data visualization report using Tableau for all states minimum wages from 1968 to 2016 SKILLS

Computer: SAS, R, SQL, Advanced Excel, Stata, Python, Tableau, JMP, Minitab, C++, Origin Certificate: SAS Certified Advanced Programmer, SAS Certified Base Programmer, Oracle 11g: SQL Fundamentals I

Contact this candidate