Chenyu Wang
College Park, MD 240-***-**** ac5kf9@r.postjobfree.com linkedin.com/chenyu-wang
EDUCATION
Robert H. Smith School of Business, University of Maryland, College Park, MD May 2018 Master of Science in Marketing Analytics GPA: 3.74 School of Economy and Finance, Shanghai International Studies University, Shanghai, China June 2017 Bachelor of Management in Accounting GPA: 3.56
CORE SKILLS
Data Analytics: Python, Tableau, SQL, R, SAS, Microsoft Office
Marketing: Market forecasting, Customer analysis, Digital marketing (Google AdWords, Google Analytics, A/B Testing, Multivariate Testing), Marketing research, Business communication, Product innovation
Language: English, Mandarin
Others: Leadership, Communication, Self-learning, Goal-oriented PROFESSIONAL EXPERIENCE
L’Oréal Group, Shanghai, China 06/2016 – 11/2016
Marketing Department Intern
Leveraged internal and external data processing software to prepare weekly, monthly and yearly reports
Tracked Top 10 competitors’ sales in the market and reported to directors weekly
Made recommendations for strategically marketing campaigns
Consulted with suppliers and purchasing departments to procure purchase orders
Revamped the design in packaging of bottles and outer packings to visibly appeal to consumers KPMG, Shanghai, China 01/2016 – 03/2016
Audit Department Intern
Audited multinational corporations and prepared audit papers
Communicated with internal accountants in terms of abnormal items shown in financial statements
Sent, received and checked bank confirmations and enterprise confirmations Baixiang Food Group, Xianyang, China 06/2015 – 08/2015 Marketing Department Intern
Tracked the daily sales of main competitors and prepared competitive analysis reports weekly
Conducted marketing research to stay formed of industry changes
Contributed in marketing campaign rollout
LEADERSHIP EXPERIENCES
Action Learning Project 01/2018 – 03/2018
Team Leader
Processed with more than 400,000 observations to identify potential customers of a satellite company
Used Python to build models such as KNN, Decision Tree and Random Forest to compare and find the best one
Leveraged SAS to probe the relationship among variables and Tableau to obtain geographic attributes of segments Merkle’s 2018 Bracket-lytics Challenge 02/2018 – 03/2018 Team Leader
Used Python to build the neural network model to predict the winner in the National Collegiate Athletic Association (NCAA) Men’s Basketball Tournament
Ernst & Young Shanghai Collegiate Financial Case Study Contest 10/2015 – 11/2015 Team Leader
Analyzed Telstra’s performance and the whole industry’s competitive power for five years
Developed overall strategies based on the analysis, such as cultures, products and human resources
Presented in the final round and won a 4th prize in 88 teams