Project Data Assistant Experience Programmer Research |
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QUALIFICATION • Solid background in data analysis and modeling • Significant skill and experience manipulating large datasets with SAS, SAS/SQL, SAS/Macro • Strong analytic ability with attention to quality of data and correctness of reports • Proficient oral & written communication skills • Self-motivated, result-oriented and desire for constant learning • Strong commitment to teamwork and quality EDUCATION Master in Statistics expected 03/2012 University of Chicago, Chicago, IL Ph.D. in Biological Science 07/ 2001 Tsinghua University, Beijing, China Bachelor of Science in Automation 07/1995 Tsinghua University, Beijing, China CERTIFICATION • SAS Certified Advance Programmer for SAS 9 09/30/2010 • SAS Certified Base Programmer for SAS 9 09/21/2010 TECHNIQUE SKILLS • Proficient in SAS base, SAS Macro, SAS/SQL, ODS • Proficient in R, Excel including Pivot table • Working knowledge: Microsoft Office, Illustrator • Familiar with Mac OSX system, Linux shell scripts, HTML, Perl WORKING EXPERIENCE Research Assistant 05/2010~present NORC(National Opinion Research Center) at University of Chicago (http://www.norc.org) Project: National Immunization Survey-Teen (NIS-Teen) 2009 annual data delivery • Manipulate and categorize the NIS-Teen 2009 national survey data • 5827 respondents’ records were analyzed • Calculate the estimate coverage of vaccination with survey stratum/sampling weight • Construct the graphs profiles for the analysis with EXCEL • Generate delivery files to CDC. Project: National Longitudinal Surveys (NLS) data dissemination • Build recoding algorithms for harmonization • Determine and extract the appropriate set of variables from six NLS Cohorts • Harmonize and integrate the longitudinal data across all cohorts and time-frames • Generate translation tables for recoding the original NLS variables into normalized values. • Perform appropriate statistical analysis • Total 6 cohorts, 42,171 respondents and over 100 variables were analyzed Project: NLSY1997 college transcript pre-proposal study • Determine the appropriate event history variables from NLSY97 cohort • Extract, transform and load the event history monthly data from 1997 to 2010 • Manipulate and integrate variables across 13 data collection rounds • Construct analytic variables that trace particular events across time • Perform statistics analysis with demographic parameters • Generate logistic model for college attainments • Provide detailed chronological information about students’ enrollment patterns across post-secondary institutions • Prepare scientific documentation of variable construction • Total 8985 respondents and 640 history event variables were analyzed Project: Follow-up study of the High School and Beyond respondents • Compile information from different electronic files, including cross-walk files and different locating files • Extract the names, address, social security number information from locating file for 14,825 sophomores and 11,995 seniors’ respondents. • Preparation of initial locating request • Draw random samples stratified on sex, educational level and status Used technologies: SAS Base, SAS SQL, SAS MACRO, EXCEL
Research Assistant/Associate 02/2002~present Ben May Department for Cancer Research, University of Chicago • Design and perform biological experiments • Analyze the data and write the reports to supervisor • Write papers and proposals • Present and discuss the result in the lab/department meeting and conference REFERENCES AVAILABLE UPON REQUIRES
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