Xue Wen
Baton Rouge, LA, 70820
******@***.***
Summary
Data analyst with 5+ years of experiences in analyzing and interpreting data. With exceptional and reliable data mining skills. Adept at database maintenance and management developing comprehensive reports for managers and working with departments to get necessary information. Specializes in corporate and government database information. Expert in SPSS, SAS, R and Advanced Microsoft Excel. Highlights
SAS Certified Base Programmer for SAS 9
SAS Certified Advanced Programmer for SAS 9
Education
Louisiana State University, Baton Rouge, LA May 2017 Doctorate of Philosophy, Educational Research and Leadership Cumulative GPA: 3.9 Louisiana State University, Baton Rouge, LA May 2017 Masters of Applied Statistics, Statistics Cumulative GPA: 3.9 Louisiana State University, Baton Rouge, LA December 2012 Masters of Education, Educational Technology and Leadership Cumulative GPA: 3.95 Sichuan University, Chengdu, China June 2010
Bachelor’s Degree, English Cumulative GPA: 3.9
Work Experiences
Research Assistant, Our Lady of the Lake Regional Medical Center June 2016- August 2016
Responsible for writing related literature review
Collected and analyzed data using SAS &SPSS &R
Consultant, department of statistics, Louisiana State University Fall 2015- Spring 2016
Conducted statistical consulting projects under the supervision of graduate faculty
Solved problems in the experimental designs for several projects
Managed and analyzed quantitative data using SAS &R
Developed technical reports and presented findings to the clients Research Assistant, Louisiana State University September 2012- present
Assisted my professor with course design including course objectives, lesson plans, course materials for graduate students
Worked with students one-on-one; learned about problems they are having with the course material.
Proctored exams and quizzes.
Had a full charge of lab teaching SAS & SPSS for two years.
Worked with professors in social science research using qualitative, quantitative, and mixed methods 2
Assisted in quantitative data analysis using R, SAS/MACRO, SPSS and EXCEL, and qualitative data analysis using atlas.ti
Intern, faculty technology center, Louisiana State University August 2012- Fall 2012
Responsible for designing an online course for graduate students in Moodle system
Responsible for assisting professors who have questions about the Moodle tool Publications
Wen, X. & Kennedy, E. (2016). Utilizing technology for Learning STEM subjects: Perceptions of urban African-American middle school students. Student Pulse, 8(2), 1-3.
MacGregor, K. D., Madden, J. J., Archer, L., & Wen, X. (2016). University-school partnerships: Professional development of math and science teachers through action research. (To be submitted) Honors and Awards
$2000 Lilian Oleson Scholarship from the College of Education, Louisiana State University Fall 2012- Spring 2013 Additional Skills
Proficient knowledge of conducting qualitative, quantitative, and mixed method research in social science
Proficient knowledge and expertise of using statistical packages for analyzing large datasets (Excel, SPSS, SAS/MACRO, R, and SQL server)
Excellent knowledge of statistical theory including experimental design, categorical data analysis, analysis of variance (covariance), multivariate analysis, and non-parametric methods.
Excellent MS Office skills particularly Excel, Word, PowerPoint, Access & Outlook (2007/2010)
Ability to build complex statistics modeling, including hierarchical linear modeling, generalized additive models, nonlinear mixed models, and regression models.
Ability to interpret data, analyze results using statistical techniques and provide ongoing reports and feedback to the data and team.
Superior communication, analytical, evaluative, and problem-solving abilities
Ability to effectively prioritize and execute tasks in a high-pressure environment.
Experience working in a team-oriented, collaborative environment
Exceptionally self-motivated, directed, and detail-oriented
Good organizational skills, including prioritization and time management.