1. Kevin (Yang) Yang
9530 Baltimore Ave, #436C College Park MD, 20740 301.526.1303 yang.yang4@rhsmith.umd.edu
EDUCATION
Robert H. Smith School of Business, University of Maryland, College Park, MD 2015
Master of Science in Marketing Analytics GPA: 3.58 GMAT: 740.
SAS Certified Business Analyst: Regression and Modeling
Economics and Management School, Yanbian University, Yanji, Jilin, CHN 2014
Bachelor of Business Administration, Marketing GPA: 3.76
President of Marketing Association in Yanbian University 2011-2014
EXPERIENCE
Community Action Council of Howard County, Columbia,MD,USA 2015-7-present
Data Analyst
In charge of the organization’s information systems, including Salesforce, Cap60, Formstack,etc.
Leveraged SQL, R to statistically analyze dataset, including building models to forecast demand,
discovering important factors, clustering and profiling donors, increasing donation by 15%.
Provided technique support for branch centers.
Reported to Director of Operation.
Weiresearch Technology LTD. Beijing, China 2015.5-7
Data Analyst
Competed projects of different topics.
Leveraged SQL, SAS, and R to statistically analyze dataset, including building models to forecast
sales, discovering important factors, clustering and profiling customers.
Leveraged Poster to data mining from Weibo and Twitter, to discover business intelligence to help
make marketing strategies.
Reported to Data Department Supervisor.
Goto.com Search Engine, MD, USA 2015.1-2015.4
Digital Analyst Intern (4 months)
Wrote SQL queries to obtain data from website database based on requirement.
Tested functions of website to provide improvement suggestions.
Reported to Data Group Supervisor.
PROJECT
Customer Analysis for Under Armor 2015
Manipulated large data set containing 200,000 users’ information by cleaning, restructuring and
creating new variables by using SQL and Excel.
Identified potential customers by using SAS, R, and SPSS, applied clustering and logistic
regression model to do segmentation and analyze influence of demographic, geographic and
behavioral variables on purchase incident within each segment.
Presented key findings and methodologies to director in Under Armor, recommended marketing
plans to reach out potential customers.
ADDITIONAL INFORMATION
Technical Skills: SAS, R, SQL, Advanced Excel, Hadoop, Tableau, Google Analytics
Machine Learning: Decision Tree, Random Forest, Clustering, K-NN, Naive Bayes, SVM
