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Sunnyvale, California, United States
January 26, 2018

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**** ******* ****** ********* *** 929-***-****

Sunnyvale, California 94085 EDUCATION

University of Missouri; Columbia, Missouri August 2015-May 2017 Master of Arts in Statistics

Beijing Technology and Business University; Beijing, China September 2011-July 2015 Bachelor of Economics, Emphasis in Statistics


China Asset Management Company Ltd.; Beijing, China December 2014-February 2015 Fund Manager Assistant

Analyzed the past and present Chinese fund market By Excel as well as predicting the future fund net value based on ARIMA model by SAS

Drafted reports on fund investment policies based on real-time financial data

Built nice relationships with fund analysts from other companies to get professional opinions as reference

Organized a cross-functional team of analysts, traders and customer service to attend weekly meeting Investigation Center of National Bureau of Statistics; Beijing, China March 2014-May 2014 Telephone Investigator

Increased 10% data accuracy by assisting with the preparation of questionnaires: the order and words of questions, length of questionnaires

Interacted with 90 interviewees daily to obtain true and valid data

Recorded data and suggestions on Environmental Satisfaction project and Social Safety project PROJECT EXPERIENCE

A Survey of the Total Number of Cars Parked in Handicapped Parking Spots Without Permits May 2017

Conducted stratified sampling followed by one-stage cluster sampling design by SAS

Improved estimation through weighting and increasing sampling numbers The Influence of Living and Alcohol Environments on Drunk Driving May 2017

Constructed binary logistic regression model on 21 variables and 500 observations from the public data of survey Harvard School of Public Health College Alcohol Study (CAS), 2001 by SPSS

Influenced by family’s drinking attitude, students from the family accepted heavy drinking are 4.9 times more likely to drive after drinking than the students whose family do not approve drinking Classification of Tree Leaves Based on Shape, Margin and Texture Features December 2016

Classified leaves with 990 training leaves with 192 features by R in Kaggle competition

Ran statistical tests on data and compared results among seven models

Increased 32% accuracy in cross-validation logloss and 33% accuracy in misclassification rate when using 10-Fold KNN model instead of 10-Fold multinomial logistic model, and got top 15% among 1598 competitors WORK EXPERIENCE

Plaza 900, University of Missouri; Columbia, MO October 2016-December 2016 Customer Service Attendant

Provided positive customer service in a busy environment with up to 200 customers

Enhanced teamwork skills by cooperating with kitchen to keep enough food stored in heater

Controlled the quantity of food served to each customer so that nearly none food left in the heater after closing ADDITIONAL INFORMATION

Software: SAS (SQL, MACRO), SPSS, R, EViews

Qualification Authentication: SAS Certified Base and Advanced Programmer for SAS 9

Language: Native fluency in Chinese (Mandarin)

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