This document provides a summary of Claire Zhou's experience and qualifications. She has over 3 years of experience as a data analyst and SAS programmer for the Louisiana Department of Education, where she performed extensive data manipulation and analysis to develop models and reports for education policymakers. Previously, she has held roles as a programmer and student consultant at the University of Michigan, and as a teaching assistant where she instructed students and prepared exam materials. She has strong skills in statistical techniques such as regression, ANOVA, and Bayesian analysis from her Master's degrees in Biostatistics and Applied Mathematics.
Assessing Students' Information Literacy Skills Using MAP-WorksMillstein Library
Poster presented for the Association of College & Research Libraries (ACRL) Assessment in Action (AiA) program at the American Library Association (ALA) Annual Conference on Friday, June 24, 2016 in Orlando, FL
Measuring Engagement in Technology-Based Health InterventionsYTH
Paradata (i.e. intervention usage metrics or web/app analytics) have been associated with differential treatment outcomes in online health behavior interventions, yet they remain underutilized and underreported in technology-based HIV prevention and care studies. Paradata collection and analyses can help researchers identify how components in technology-based health interventions lead to behavior change, offer insights into the frequency of usage across intervention components, and provide opportunities to compare the efficacy of specific components across trials. As an emergent area within technology-based health interventions, paradata analyses will require multidisciplinary collaborations between experts in intervention development, bioinformatics, and biostatistics. Building on lessons learned from big data analytics in ecommerce and social media, these partnerships will be critical to determining what and how paradata will be collected and analyzed.
Assessing Students' Information Literacy Skills Using MAP-WorksMillstein Library
Poster presented for the Association of College & Research Libraries (ACRL) Assessment in Action (AiA) program at the American Library Association (ALA) Annual Conference on Friday, June 24, 2016 in Orlando, FL
Measuring Engagement in Technology-Based Health InterventionsYTH
Paradata (i.e. intervention usage metrics or web/app analytics) have been associated with differential treatment outcomes in online health behavior interventions, yet they remain underutilized and underreported in technology-based HIV prevention and care studies. Paradata collection and analyses can help researchers identify how components in technology-based health interventions lead to behavior change, offer insights into the frequency of usage across intervention components, and provide opportunities to compare the efficacy of specific components across trials. As an emergent area within technology-based health interventions, paradata analyses will require multidisciplinary collaborations between experts in intervention development, bioinformatics, and biostatistics. Building on lessons learned from big data analytics in ecommerce and social media, these partnerships will be critical to determining what and how paradata will be collected and analyzed.
This is a North Central University essay about analyzing a statistical research sample. Components include research questions, null and alternative hypotheses, and types of statistical analysis. It is written in APA format, includes references, and has been graded by an instructor (A).
Dr. Michelle Annette Cloud, PhD Dissertation Defense, Dr. William Allan Krits...William Kritsonis
Dr. William Allan Kritsonis, PhD Dissertation Chair for Dr. Michelle Annette Cloud, PhD Program in Educational Leadership, PVAMU, Member of the Texas A&M University System.
Dr. Michelle Annette Cloud, PhD Dissertation Defense, Dr. William Allan Krits...
ZIHAN ZHOU Resume
1. ZIHAN (CLAIRE) ZHOU
4536 Earl Gros Avenue, apt 1, Baton Rouge, LA 70820 ♦ C: (225)235-8138 ♦ clairechou1112@gmail.com
Dedicated and motivated data analyst and SAS programmer. Perceptive and logical data analyst with the proven
ability to communicate with education policy makers to identify and translate educational requirements and design
models. Offer 3 years of experience lead teams of talented professionals to develop valuable process solutions to meet
education objectives.
Hypothesis Testing (4 years)
Linear/ Generalized Linear Regression (4 years)
Bayesian (2 years)
ANOVA/ ANCOVA (4 years)
Survival Analysis (2 years)
t-Test/Chi-squared Test (4 years)
SQL (4 years)
SAS (4 years)
R (2 years)
Python (1 year)
MS Access (2 years) MS Office Word, Excel,
PowerPoint (10+ years)
Education Research Analyst III, 09/2014 to Current
Louisiana Department of Education – 1201 N3rd Ave, Baton Rouge, Louisiana
Extensive data manipulation using SAS, SQL, Excel and Access.
Developed database objects, including tables, views and materialized views using SQL.
Analyzed relationships of various indicators and draft research reports for education policy makers using
statistical techniques such as linear regression analysis, logistic regression, ANOVA analysis, T-test, Kappa test,
and other emergent methodologies in educational statistics.
Summarized, interpreted and presented results from statistical analysis. Drafted research reports for a variety of
audiences, including education policy makers and practitioners.
Presented at meeting with policy makers and superintendent of LDOE.
Programmer and Student Consultant, 09/2013 to 05/2014
University of Michigan – Ann Arbor, Michigan
Designed analysis based on the requirements of investigator
2 years experience in developing programs to perform statistical analysis and descriptions of data with logic
reasoning
Summarized, interpreted and presented results from statistical analysis
Served as consultant regarding analytical methodology and programming
Projects : Analyze the Cohort Difference in different demographic group by comparing rate of Cognitive
Decline; Comparing Ann Arbor AI Grading Scheme and Gluckberg Grading Scheme by simulation; Survival
Analysis for HPV+ impact on Head and Neck Cancer; Detecting effect of Helmet Law Modification in Michigan
by Logistic regression; Detecting Biomarkers Associated with Engraftment Syndrome
Teaching Assistant, 09/2013 to 01/2014
University of Michigan – Ann Arbor, Michigan
Instructed small groups of students in statistical inference
Graded test and homework
Help professor prepare exam paper by LaTex
Instructor, 08/2010 to 05/2012
Bowling Green State University – Bowling Green, OH
Gave lecture in Pre-Calculus and College Algebra for a class of 30 college student
Graded homework and test
PROFESSIONAL SUMMARY
SKILLS
WORK HISTORY
2. Master of Science: Biostatistics, 05/2014
University of Michigan - Ann Arbor
3.7GPA
Coursework in statistical inference, linear regression, logistic regression, ANOVA, survival analysis, Bayesian,
large sample theory, categorical data analysis
Master of Arts: Applied Mathematics, 05/2012
Bowling Green State University - Bowling Green, OH
3.8GPA
Coursework in advanced calculus, partial deferential equation, linear algebra, matrix, numerical analysis
EDUCATION