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Marketing Microsoft Office

College Park, Maryland, United States
May 22, 2018

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Chenyu Wang

College Park, MD 240-***-****


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


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


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

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