INTERNSHIP Professional Overview experiences collecting analyzing data statistical methods, familiar R SAS programing, great knowledge experiment design, sampling techniques documents management. strong skills communication, group-working work-planning. Core Qualifications Strong knowledge SAS, R SSPS programming Excellent research skills Microsoft Word, Excel, PowerPoint Excellent quantitative skills Team leadership Organizational planning Leadership/communication skills Customer-oriented Education University Missouri 2015 Master Science Statistics City State The United States President Chinese students' scholars' association 3.7 GPA Coursework practical statistical models, data analysis 1, 2, 3, statistical software data analysis, introduction probability theory, statistical inference, time series analysis, survival analysis, experimental design, current development statistics. SAS advanced license Thesis/Dissertation Projects: A. Time: 2014 January 2014 Match Title: relationship mathematical grade seventh grade grades primary school. Brief process: use linear model fit transformed variables data getting rid useless columns, choose significant variables form final model based persuasive diagnostic values. Achievements project:the mathematical grade seventh grade significantly influenced reading, counting logistic ability first second grade primary school. B. Time: 2014 May 2014 August Title:bike rental prediction Brief process: construct regression model use different statistical method, find powerful model decided finding least error rate, decide variables significantly enough build model. Achievements project: use Lasso make regression, gives least error rate use almost original data set, saves lot time deal original data set. C. Time:from 2014 September October Title: Classify Song Release Period Brief process: construct classification model classify specific song year year 1986 based 90 attributes single song 6480 songs. Achievements project: use Multivariate adaptive regression splines build model based final classification model, conclude song 1986 depends mostly artists create them, secondly properties tagged famous music website finally properties track. D. Time: 2014 November 2014 December Title: predict lightening strikes July based records January June. Brief process: first cluster original data based lightening strike records moisture records method K-mean Hierarchical method. Second use different statistical method like Boosting, Random Forest, Ridge, Lasso, NNET, CART, SVM find best model predict strikes happen. Achievements project: use K-mean clustering method based moisture data form cluster use neural network better way prediction get smaller MSE, lightning strike direct relationship soil moisture level climate indices. E. Time: 2014 November 2014 December Title: predict daily stock price Netflix Inc. Based historical daily price records. Brief process: use GARCH model fit transformed data finally choose GARCH plus ARMAR model make forecasting. Achievements project: model find trend future stock appropriate time buy piece stock. Experience Company Name May 2014 August 2014 internship City State Main tasks job: 1.Collect, enter analyze stock prices: collect useful data enter database correct classification way, use statistical methods analyze based R programming. 2.Predict future trend different stocks divide different category: use time series methods predict trend 3.Write summary report: use statistical methods analyze data R write performance evaluation report based quantitative facts. 4.Customer service: answer phone call solve customers' problems reception job front table. Also offer instruction stocks choose new clients. 5.design questionnaire get feedback Company Name May 2013 August 2013 internship City State Main tasks job: 1.data collection entering: collect financial data classify correct table items. 2.Write summary report: use statistical methods analyze data R write performance evaluation report based quantitative facts. 3.Customer service: answer phone call solve customers' problems reception job front table. 4.inventory control: keep record number materials keep track way in. 5.arrangement business trip: book hotel, arrange schedules day, keep track budget business trip. Company Name November 2012 March 2013 internship City State Main tasks job: 1.data collection entering: collect financial data classify correct table items. 2.Write summary report: use statistical methods analyze data R write performance evaluation report based quantitative facts. 3.Customer service: answer phone call solve customers' problems reception job front table. 4.Meeting preparation: prepare documents need meeting, make sure participants come, prepare PowerPoint slides arrange meeting room. 5.Introduce production customers: introduce financial products suitable client persuade buy. Fellowships Awards 1.merit certificate award excellent grade top 10% Time: spring semester 2014 2.merit certificate award excellent performance position leader executive department Chinese students scholars association university Missouri. Time: Fall semester 2014 3.merit certificate award excellent performance position vice president Chinese students scholars association university Missouri. time: Fall semester 2014-2015 4.Merit certificate award excellent performance position president Chinese students scholars association university Missouri. time: spring semester 2015