CV
Education:
M.S. Statistics, University of Cincinnati, OH, USA (GPA 3.57/4.0) 08/2016-12/2017
M.S. Materials Science, Hunan University of Technology, Zhuzhou, China (GPA 3.84/4.0) 2007-2010 (Visiting student at Central South University, Changsha, China 2008-2010)
B.S. Statistics, Xi’an University of Finance and Economics, Xi’an, China (GPA 3.72/4.0) 2003-2007
Professional Experience:
Data Analyst Intern, Pacific Northwest National Laboratory, Richland, WA, USA 06/2017-08/2017
• Collected and analyzed weather conditions and electricity demand data
• Collected and analyzed annual maximum series data of rain fall
Procurement Analyst, Asia Talent Co., Ltd., Beijing, China 07/2010-02/2011
• Collected and analyzed spend data for targeted commodities
• Developed baselines to support decision making
Procurement Analyst (Part-time), Asia Talent Co., Ltd, Xi’an, China 07/2005-05/2007
• Analyzed sales records, inventory levels and market trend
• Generated tables and figures to management
Research & Projects:
Multivariate statistical analysis of crime data in United States (Course project) 08/2017-12/2017
• Used Principal analysis, factor analysis, discriminant analysis methods to analyze crime data using SAS
• Generated data reports
The relationship between weather conditions and electricity demand in the south of United States (Intern project) 06/2017-08/2017
• Collected and cleaned hourly and daily weather conditions and electricity demand of 4 states during 3 years
• Plotted time series plots, heatmap plots of correlation coefficient results and feature plots of variables, fitted segment linear model with 2 hours lag of time using R and generated data reports
Comparing the simulation and historical annual maximum series data of rain fall (Intern project) 06/2017-08/2017
• Collected annual maximum series (AMS) data of rain fall in Colorado from 1975 to 2004
• Used statistical methods to compare the simulation and historical AMS data and checked the distributions of AMS data using R and generated data reports
The world university ranking regression (Course project) 01/2017-04/2017
• Collected data and plotted feature plots by exploratory data analysis before regression
• Diagnosed and remedied linear regression models and implemented linear regression models using R
The relationship between physical fitness test and depression (Course project) 09/2016-12/2016
• Generated data plots using SAS, fitted linear regression models and analyzed outliers and influential points
• Diagnosed and remedied models and implemented Logistic Regression Model
Wyoming presidential election maps of Donald Trump and Hillary Clinton (Course project) 09/2016-12/2016
• Published the map using R Shiny (https://huifenzhou.shinyapps.io/project)
Certifications:
• SAS Certified Advanced Programmer for SAS 9 12/2017
Statistical Skills:
In-depth knowledge and hands-on experience with questionnaire and experimental design, confidence interval analysis, linear regression, logistic regression, etc.
Statistical Analysis Software Skills:
• R, SAS, SQL, MATLAB, SPSS ,Tableau, MS office
Selected Publications:
-
An Open-Source Tool for Automated Power Grid Stress Level Prediction at Balancing Authorities, (In process).
-
Huifen Zhou, et al. Microwave-assisted Synthesis and Characterization of Hexagonal Fe3O4 Nanoplates, Solid State Sciences 2010, 12, 99.