Dongqi Wang is a marketing professional seeking new opportunities. She has a Master's degree in Marketing Intelligence from Fordham University and relevant work experience. This includes internships at the China-US Chamber of Commerce where she increased website traffic, Food Network analyzing TV ratings, and BMW China assisting with PR and marketing tasks. Wang has strong technical skills in SAS, SQL, SPSS, and analytics. She has completed projects involving customer segmentation, regression modeling, and creating a database for Netflix.

1. DONGQI WANG
540 Main Street  New York, NY 10044  347-330-7620  dwang73@fordham.edu
Website: dwang2017.wordpress.com
EDUCATION
2015 – 2016 FORDHAM UNIVERSITY, GABELLI SCHOOL OF BUSINESS New York, NY
MS in Marketing Intelligence (STEM Program), GPA: 3.89/4.0 (Top 5%)
 SAS Certified Base Programming for SAS 9; SAS Certified Advanced Programming for SAS 9
2011 – 2015 RENMIN UNIVERSITY OF CHINA Beijing, China
BA in Marketing, GPA: 3.5/4.0
 Outstanding Graduates Award (Top 1%); Second-Prize Academic Scholarship (Top 10%)
EXPERIENCE
10/16 – 01/17 CHINA-U.S. CHAMBER OF COMMERCE New York, NY
Digital Marketing Intern
 Monitored website KPIs by utilizing Google Analytics and generated website performance weekly reports
 Applied Google Keyword Planner for SEO and made recommendations to content of chamber webpages to achieve
higher keyword search relevance and PageRank; increased total visits by 81.2% and reduced bounce rate by 12.5%
 Managed social media platforms and helped increase Wechat followers’ number by 6.7% from 4,500 to 4,800
05/16 – 08/16 FOOD NETWORK New York, NY
Marketing Analyst Intern
 Analyzed 23 networks’ audience ratings to explain audience trend based on network characteristics. Provided
audience projections for 2017 across 23 networks during primetime (8pm-12am)
 Used Python and Twitter API to collect 500+ audience reviews, ran sentiment analysis on those reviews, and
explored relationship between sentiment volume and audience ratings. Provided suggestions based on findings
02/16 – 05/16 FORDHAM UNIVERSITY New York, NY
Research Assistant
 Designed US television marketing survey using SurveyMonkey and collected 167 valid samples
 Manipulated and analyzed dataset by SAS, conducted crosstab, T-test and ANOVA to identify differences among
genders, races and classes. Created charts using Excel, and summarized reports for academic conference
12/14 – 05/15 BMW CHINA Beijing, China
PR & Marketing Intern
 Facilitated department purchase request: vendor selection, finalized contracts, and reviewed executive details
 Maintained 300+ media resources such as vehicle information, press releases, activities photos, videos and souvenirs
 Attended 2015 Automobile Shanghai and coordinated with agency to make the activity proceed successfully
 Maintained relationship with 3 media partners of BMW in China and assisted to press BMW photos and news
PROJECTS
Customer Segmentation and Regression Modeling of H&M
SPSS Team Leader
Identifying Three Meaningful Segments of 100,000 Customers and Developing Reliable Predictive Regression Modeling
 Aggregated over 226,000 transactional data to form customer profile based on past eight years shopping history
 Conducted Hierarchical and K-Means Cluster Analysis using SPSS and identified three dissimilar meaningful customer segments
 Developed predictive models for purchase behaviors of those three customer segments by using Multiple Linear Regression
 Advised managerial implications to improve marketing efficiencies by targeting each group with appropriate marketing strategies
Staples New York City Marketing Expansion Project (SAS Project)
SAS Programmer
Identified Two Business Opportunities for Staples and Designed Seven Marketing Metrics for Measurement
 Analyzed internal and external data including Data Aggregation, Regressions and Cluster Analysis to identify two opportunities
 Designed marketing metrics for margin & profit, customer and product profitability for evaluating the opportunities
 Created a marketing dashboard using Tableau and Excel to present the results
Database Project for Netflix (SQL Project)
SQL Programmer
Created Database for Netflix to Answer Business Questions and Made More Marketing Decisions
 Designed relational database of seven tables with Entity Relational Diagram (ERD) and input data by SQL queries
 Implemented database using primary and foreign keys to link tables and normalized database
 Developed SQL queries to create views, select relevant fields, filter and sort results with complex join commands to solve questions
SKILLS
Software & Applications: SAS, SQL, SPSS, Advanced Excel (V-lookup, Pivot Table, Solver), Tableau, Python, Google Analytics
Marketing & Statistical Analytics: T-test, ANOVA, Predictive Modeling, Cluster Analysis, SEO, ROI, CRM, CTR, PPC