Zhongping Gao

**** ******* ***. *** **, Okemos, MI, 48864 Tel: 517-***-****, E-mail: cfalns@r.postjobfree.com

SUMMARY OF QUALIFICATIONS

• Certified SAS Base and Advanced Programmer, Proficient with Analysis Software such as Eviews, R, SPSS, MATLAB, Proficient with database systems, SQL Language and Microsoft Office Software

• Successfully passed Actuarial Exam P, FM, MFE and met VEE courses requirement in Applied Statistical Methods and Corporate Finance

• Self motivated and result oriented with strong statistical, analytical and financial background

EDUCATION

Professional Master of Science in Industrial Mathematics, Michigan State University Dec. 2010

Master of Science in Statistics, Michigan State University May. 2009

Master of Science in Quantitative Economics

Capital University of Economics and Business, Beijing, China Jul.2008

Bachelor of Science in Information System, Xi’an University of Technology, Xi’an, China Jul.2004

PROFESSIONAL EXPERIENCE

Accident Fund Insurance Company Jan.2010-May.2010

In charge of Large Loss Predictive Model Project

• Several models were created using statistical analysis and the final logistic regression model predicting client policies at risk for large losses is provided

• Using 70,000 policies data, the final model accurately predicted the large loss outputs of 87.5% of all policies and 70.1% of those policies suffering large losses

• Data mining the history data, two significant factor were found to help company determine potential large loss policies

Department of Mathematics, Michigan State University Aug.2009-Dec. 2010

Teaching Assistant

• Instructor of College Algebra and Applied Calculus with 75 students and tutoring at Math Learning Center

Center for Statistical Training & Consulting Feb. 2008

Volunteer

• Used SAS and SPSS software to deal with practical data manipulation, modeling and analysis problem and analyzed data sets with cluster analysis, time series analysis, and be responsible for supporting analytical needs in the business unit

Steelcase Inc. Jan.2008-May.2008

In Charge of Predicting Purchase Volume Project

• Contributed to team effort by investigating on external data and built multiple linear regression model to predict the percentage of an initial quote in a biding process that Steelcase, Inc. will win, based on the parameters extracted from real sales data

• Data mining on historical data for five different regions and five corresponding models are given, Steelcase can use these models to predict whether or not result in profit

• Fix data integrity issues, provided recommendations for more efficient data process

COFCO, Managerial Assistant, Beijing, China Aug.2004 - Jul.2005

• Analyzed future market for hedging plans during daily meetings, and completed specific clients’ requests and maintained key clients’ relationship by answering questions and generating specific marketing and product related letter

Gamma Knife Treatment Planning, Mathematical Contest in Modeling (MCM), USA Feb.2003

• Applied 3D Monte Carlo method to optimize the objective function for simulating Gamma-knife treatment on tumor

• Designed a computer program to deal with varieties of tumors’ shapes, which can be produced through continuous curve surface’s equation or discrete data

References available upon request

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