Data Analyst, SAS programmer

Shuwen Tang

**** ****** ***, *** ****, California, 95111 • 574-***-**** • ******.****@*****.***

EDUCATION

Doctor of Philosophy University of Wisconsin–Milwaukee (UWM), WI GPA: 3.83/4.0

****-***4 Major: Statistics and Measurement

Minor: Mathematical Statistics

Master of Philosophy Lingnan University (LN), Hong Kong

2008-2010 Major: Psychology

Bachelor of Science Hangzhou Normal University (HZNU), P. R. China GPA: 3.90/4.0

2004-2008 Major: Psychology, with Honors

HIGHLIGHTS OF SKILLS

• Expertise in data analysis, quantitative methods and statistical modeling, like regression

modeling, multivariate testing, longitudinal analysis, clustering analysis, decision trees, etc

• Expertise in data mining/machine learning and database management

• Expertise in psychometrics analysis, measurement and instrument development

• Expertise in survey research, sampling, questionnaire design, and missing data/imputation

• Experience in managing and analyzing with Big Data

• Ability to communicate statistical concepts to non-technical audiences

• Ability to develop reports and utilize visualization techniques

• Ability to work independently and collaboratively, and work across multiple projects

• Strong communication, time-management, organization, and prioritization skills

• Proficient in programming skills:

•SAS*

Statistical: •SPSS •R

Modeling: •Amos •MPlus •HLM •LISREL

Data management: •SQL •Oracle •Python •Visual Basic •MS Excel

Measurement: •SIBTES •WinBUGS •Bilog •Dimtest •Scoright

T

*

SAS Certified Advanced/Base Programmer

WORKING EXPERIENCE

2014 Intern-Analytics, Customer Service - Business Effectiveness and Integration,

Wisconsin Electric Power Company (We Energies)

Analyze huge data set and figure out innovative solutions that drive efficiency, optimize product, cut

cost and increase customer satisfaction. Project Highlights:

• Credit and Collections Predictive Modeling

• Customer Segmentation Analysis (based on large-scale Residential Home Use Survey)

2013-2014 Laboratory Instructor for graduate-level class in statistics, UWM

Laboratory instruction on SPSS & SAS, grading, meeting with students

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2010-2013 Statistical Consultant, Consulting Office for Research and Evaluation, UWM

Research design, statistical analysis, instrument development, and software training

• A study of school climate in Milwaukee Public Schools

• Strategies for Motivating and Supporting Online Students

• Fostering Opportunities foR Tomorrow's Engineers (FORTE) Program

(under The National Science Foundation's STEM Talent Expansion Program (STEP) )

• OIC of America’s federally-funded Healthy Marriage Program (2009-2010)

2008-2010 Teaching Assistant for classes in Behavioral Science, Lingnan University

4-5 tutorials/week, grading, class materials preparation, meet with students

2008-2010 Research Assistant, Lingnan University

Survey research, database building, statistical analysis, training assistant, and report drafting

• Work Family Balance

(3-yr international research project involving 15,000 employees)

• Psychological Approach to Effective Strategies in Handling Students' Challenging

Behavior (Education Bureau, Hong Kong)

• Managing Abusive/Violent Customers in Workplace for Managerial Staff

(The Hong Kong Housing Authority)

2007 Teacher and School Psychology Consultant in Ziyang Primary School, Hangzhou, China

Psychological assessment, crisis intervention, individual and group counseling, and research

PUBLICATIONS

Tang, S.W., Siu, O. L., & Cheung, F. (2014). A Study of Work-Family Enrichment among Chinese

Employees: The Mediating Role between Work Support and Job Satisfaction. Applied Psychology: An

International Review, 63(1), 130-150.

Cheung, F., Tang, C., & Tang, S.W. (2011). Psychological capital as a moderator between emotional

labor, burnout, and job satisfaction among school teachers in China. International Journal of Stress

Management, 18, 348-371.

Zhu, X. B., & Tang, S.W. (2009). The relationship of primary school pupils’ writing attitude with their

writing achievement. Psychological Science (Chinese), 32(4), 942-945.

CONFERENCE PRESENTATIONS (SELECTED)

Tang, S.W., & Azen, R. (2014). The Statistical Significance of Dominance Analysis Measures in

Multiple Regression. International Meeting of the Psychometric Society, Madison, WI.

Tang, S.W., Zeng, W., & Walker, M. C. (2014). DIF Analysis when Recoding the Polytomous Response

as Dichotomous. Annual Meeting of the National Council on Measurement in Education, Philadelphia,

PA.

Tang, S.W., & Luo, W. (2013). Examining Cross-level Interactions in Multilevel Models: Problems and

Solutions. 121st Annual Convention of the American Psychological Association. Honolulu, HI.

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Azen, R., Tang, S.W., & Budescu, D. V. (2011). Comparing Methods to Evaluate Predictor Importance

in Lexicographical Models. International Meeting of the Psychometric Society, Hong Kong.

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