Experienced Data Analyst with SQL, SAS, and R Skills
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 of 80 members of Yanbian University 2010-2014
EXPERIENCE
Weiresearch Technology LTD. Beijing, China 2015.5-2015.7
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 Firefox Poster to data mining from Weibo and Twitter, to discover business intelligence to
help make marketing strategies.
Reported to Data Department Supervisor.
Yanshi Company, Yanji, China 2013.2-2014.4
Data Analyst (14months)
Monitored sales by using Excel Pivot table to evaluate sales performance, generated over 40 reports
and kept sales performance increasing steadily.
Conducted data analysis on customer dataset, set priority levels for potential customers to support
sales team, increasing contract signing rate by 10%.
Collaborated with Marketing Department Director to conduct department meetings, briefing key
points of data analysis, contributing to devise marketing strategies.
AC Nielsen, Beijing, China 2012.6-2012.9
Customer Research Intern (3 months)
Conducted deep research on 1000 customers about preference towards automobile industry through
questionnaire and phone interview.
Analyzed data from research to devise marketing strategy for clients to improve profitability.
Negotiated with clients to present marketing solutions with better visibility.
PROJECT
CustomerAnalysis for Under Armour (3month) 2015
Manipulated large data set containing 200,000+ users’ information by cleaning, restructuring and
creating new variables using SQL and Excel.
Identified potential customers by calculating the magnitude of impact of various
demographic/behavioral variables on the probability of purchase event and purchase amount using
logit and linear regression models in SAS.
Created a segmentation strategy for Under Armour using clustering model in SPSS and R.
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
Languages: Fluent in English, Fluent in Mandarin.
Machine Learning: Regression, Decision Tree, Random Forest, K-NN, Naive Bays, SVM SQL, SAS, R, SQL, DATAANALYSIS,ANALYST, SQL, TABLEAU, SQL SERVER,SQL,SAS, R, SQL,DATAANALYSI S,
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