1. YUAN YAO
40 Newport Parkway #2709 • Jersey City, NJ 07310 • 917-318-9513 • pengpeng9045@gmail.com
Summary
Strong skills in ETL process, database management and statistical modeling
Recognized for fast-learning, detail-oriented and self-motivated
Skills
Programming: C, Java/J2EE, Python, PL/SQL, Perl, R, SAS, VBA, MATLAB
Applications: Oracle, Microsoft Office, SPSS
Certifications: SAS Certified Advanced Programmer for SAS 9, FRM Part II Candidate
Education
Columbia University, New York, NY Sep. 2012 – Dec. 2013
M.A. in Statistics, Graduate School of Arts & Science, GPA: 3.5/4.0
Coursework: Data Mining, Advanced Data Analysis, Time Series, Applied Statistics
Huazhong University of Science & Technology, Wuhan, China Sep. 2008 – Jun. 2012
B.S. in Mathematics & Applied Mathematics, Department of Mathematics & Statistics, GPA: 3.5/4.0
Coursework: Mathematical Modeling, Financial Analysis, Portfolio Investment, Numerical Analysis
Professional Experience
Fulcrum Analytics, Inc, New York, NY Dec. 2014 – Present
Developer
Worked in Technology Client Service team, developed and enhanced client database ETL processes with Perl
Built up client database in Oracle, including tables, triggers, procedures, and packages
Created documentations for business and technical requirements
L2: Business Intelligence for Digital, New York, NY Feb. 2014 –Sep. 2014
Research Analyst & Technical Analyst
Built web scraping tools with Java for social platforms, search engines, and E-Commerce. Architected database ETL
processes to support business decisions with high quality solutions
Provided business reports for executive daily review by developing and maintaining SQL scripts
Developed a digital model to generate strategy insights by analyzing large data collected from various sources
including brand sites and E-Commerce, social media, search engine/email, and mobile sites/applications
Analyzed and measured the digital aptitude of 166 brands across fashion, watches & jewelry, luxury hotels
Contributed in publication/projects: Luxury | China 2014, Prestige Hotels | 2014
WHC Capital, LLC, New York, NY Jun. 2013 – Aug. 2013
Financial Research Intern
Developed auto-updating stocks market data output with VBA of analysis work. The program is widely utilized by
the entire company to improve efficiency and convenience
Used Python programming to create pricing models for convertible bonds valuations and trading Delta based on
Black-Scholes Framework and ordinary least square estimate
Developed trading strategy based on risk analysis over 20 volatile stocks with R programming
Research Experience
Columbia University, GSAS, Advanced Data Analysis Oct. 2013 – Dec. 2013
Using Demographic Information to Predict Substance Abuse Problem
Examined and measured demographic factors of 10 million substance abusers in U.S. from 2009 to 2011
Built up prediction models using Association and Neural Network with SAS programming; providing suggestions
for both public and private sectors on budget allocation and regulating quality of care
Columbia University, GSAS, Data Mining Mar. 2013 – May. 2013
Compared different regression methods in analyzing diabetes dataset, including k-nn, linear regression
Conducted naïve Bayes spam filter walkthrough
Used naïve Bayes and trees for classification and applied to machine learning in data of Titanic
Used K-means algorithm for cluster analysis of gene expression data