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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

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Resume Yuan Yao

  • 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