Liting Li
** ****** *****, ***********, ** ***** 860-***-**** *********@*****.***
Objective Statistical Analyst, Data Analyst, Business Analyst, Qu antitative Analyst, SAS Programmer
Experience Milliman, Inc., Hong Kong, Actuarial Intern, May 2012 - July, 2012
Analyzed trading performance of annuities in U.S. market, created graphs and statistics to
prove variable annuity is the best suit for our client
Investigated payoff phase, sales volume of different variable annuities, presented the
result in spreadsheet to project leader as part of final report to our client in EXCEL
Predicted feasibility of selected variable annuities in domestic market by evaluating
previous economic data and government policies
Provided yearly incomes and expenses of 3 kinds of retirement communities from 10 U.S.
states to compare their demands and advantages, which assisted clients for future
decision making
Effectively learned and helped other team to compute total premiums of 27 life insurance
companies while working on my own task in EXCEL
The Interdisciplinary Contest in Modeling (ICM), China, Feb 2010
Collected debris data in Pacific Ocean, developed exponential model of debris density
Evaluated error of debris density, forecasted debris density with change of time
Improved model with temporal and spatial factors into multi-variable Grey Prediction
Model, predicted debris density and debris density rate
China Undergraduate Mathematical Contest in Modeling (CUMCM), China, Sep 2009
Analyzed advantages of control method for current values
Developed models and summation of discrete series in EXCEL and MATLAB
Project The Model and Analysis of Unemployment Rate
Collected unemployment data in 20 years, manipulated the trend of data, considered 11
variances related to unemployment rate
Checked multicollinearity of 11 variances, referred to Model Selection and Validation to
select best variances and two-way interactions, presented linear regression model
Applied BOX-COX to develop previous model, conducted appropriate transformation
Used Robust Regression and Weighted Least Square Regression to reduce outliers and
influential observations, proposed several ways to lower unemployment rate by referring
to the best regression model
Education University of Connecticut, Storrs, Connecticut, August 2011 - August 2013
Master of Science, Statistics, GPA:3.2/4.0
Zhejiang Sci-Tech University, Hangzhou, China, September 2006 - June 2011
Bachelor of Science, Mathematics and Applied Mathematics, GPA: 3.4/4.0
Related Course Applied Statistics, Design of Experiment, Financial Mathematics, Actuarial Science
Honors Honorable Mention of ICM, the Interdisciplinary Contest in Modeling, 2010
Third Prize, the China Undergraduate Mathematical Contest in Modeling, 2009
First Place, Outstanding Scholarship, Zhejiang Sci-Tech University, 2009 - 2010
Scientific Research Innovation Scholarship, Zhejiang Sci -Tech University, 2009 - 2010
Skills Society of Actuaries Exams: Probability Exam, Financial Mathematics Exam
Statistical: SAS, R, SQL, SPSS, EVIEWS
Computer Languages: MATLAB, C, C++, Lindo, Lingo, Visual Basic
Software: EXCEL, ACCESS, W ORD, and POWER POINT