Wen Yang

**** ********* ***, # ***, *******, IL, 60640, 573-***-****,acrh04@r.postjobfree.com

Summary

* ***** ** ********** ** R and SAS; proficiency in MS Office and SQL database queries; familiarity with SPSS, Visual Basic, WinBUGS, and C; hold SAS Advanced Certificate.

Strong skills in data mining, data manipulation, statistical tests, statistical models, model selection, and outputs interpretation.

Highly organized with the ability to manage multiple projects and consistently meet deadlines.

Education

University of Missouri, Columbia, MO, US GPA: 3.60/4.00 08/2013-05/2015

Master of Arts in Statistics

Zhongnan University of Economics and Law, Wuhan, Hubei, China GPA: 3.07/4.00 09/2007-06/2011

Bachelor of Science in Information and Computing Science

Work Experience

Data analyst assistant, Fengxing Media company, Zhengzhou, Henan, China 11/2011-05/2012

Presented the effect of specific products in different high schools, communicated with more than 20 headmasters, and organized representatives to attend conferences.

Analyzed graduation rates of more than 20 high schools and increased sales by 20% through information session.

Participated in monthly reporting activities, identified sales trends, revised strategies and enhanced organizational efficiency and effectiveness by 10%.

Administrative Assistant intern, Qianjiang Tax Bureau, Qianjiang, China 06/2008-09/2008

Performed data entry, made corrections, and retrieved data stored in pivot tables.

Filed documents, communicated with financial staffs from different corporations, and provided technical assistance for MS Office in the administration office, and improved productivity by at least 10%.

Project Experience

Prediction of July lightning count, University of Missouri-Columbia 10/2014-12/2014

Imported raw data of a 141648 27 data matrix, and normalized and customized data through data manipulation.

Matched data from diverse sources through statistical packages and methods.

Applied machine learning techniques including Ridge, Lasso, PCR, PLS, MARS, Bagging, Random Forests, Boosting, and SVM.

Predicted the July lightning count based on climate indices and previous values.

Relationship Study between CO2, IP and temperature, University of Missouri-Columbia 10/2014-12/2014

Gathered data from external sources and merged data to the whole dataset.

Manipulated data and built time series models to obtain information by generating tables, listings and figures.

Forecasted the values of main elements for 24 months ahead through VAR model and made comparison.

Prediction of Bike rentals and Classification of songs, University of Missouri-Columbia 08/2014-10/2014

Built classifiers to classify songs to specific time period based on 90 attributes.

Fitted data through linear models to predict daily bike rentals base on significant data attributes.

Selected one best model within statistical models through model selection criteria.

Evaluated the selected model and won the prize of top 5 models among 20 teams

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