Project State University

Yang Qin

***** ***** ********, *** *****, CA ****8

858-***-**** ****.******@*****.***

Skill Summary

More than eight years’ practical experience in statistical analysis

Statistical Theory, Monte Carlo Statistical Method, Spatial Analysis, Survival Analysis, Linear Statistical Models,

Predictive Models, Advance Numerical Analysis, Computational Methods for Molecular Biology, Time Series

Analysis,

Data Mining Statistical Method, Data Analysis Method

Microeconomic Theory, Macroeconomic Theory, Econometrics, International Money Theory and Policy,

Mathematical Economics, Application Research In Econometrics

Expertise in: Monte Carlo Simulation, Survival Analysis, Random Driven Sampling method

Familiar with: SQL, Matlab, SAS, R, SPSS, Stata, Word, Excel, PowerPoint, RDS, Netdraw

Education

Ph.D. Student San Diego State University, San Diego, CA

Computational Statistics Department of Math & Statistics

Master San Diego State University, San Diego, CA

Economics Department of Economics

Master Louisiana State University, Baton Rouge, LA

Applied Statistics Department of Experimental Statistics

Bachelor

Shenyang University, Shenyang, China

Economics (Highest

Department of International Trade, School of Finance & Economics

Honor)

Professional Experience

10/2014 - present Senior Statistician (Vision Research Core Statistician)

Shiley Eye Institute, University of California, San Diego

Project: Trend Analysis on Glaucoma

Build trend analysis models for patient in Gaucoma and control groups, comparing the developing slopes and

trend between the two groups : Time series analysis, robust regression PCA, logistic models, cox proportional

hazard modeling, power analysis, meta analysis, survival analysis, mixed models, nested anova are applied.

SAS, R, SQL and Matlab are used.

5/2014-9/2014 Statistical Analyst, Ness USA (Ebay Inc. Analytics & Insights, Contractor)

Project: Sales and Price Prediction Modeling Using Time Series data

Build predictive models: using time series analysis and signal processing method to build predictive models based

on predictors like customer behavior, promotion strategy, holiday effect, shopping season effect, etc.

Provide forecasting for future sales’ volume and price.

Analyze customers’ shopping behavior.

Support Financial and marketing strategy, looking for the best timing and product segments for promotion.

SAS & Matlab, are used. Time Series, Signal Processing, machine learning, stepwise regression, principle

component analysis, lasso regression are applied.

Project: Identifying Top Customers response to promotion email

Identify Top 20% of customers who response to our promotion emails.

Random forest in R was applied

Project: Conversion rate Comparison between webpages

Test conversion rate between Bundled item webpage vs single item webpage, A/B test was applied

Statistical Analyst, S, University of California, San Diego

5/2013 – 5/2014

Project: Female Juvenile Delinquents’ Higher Psychological Symptoms

Find out Psychological Predictors for Juvenile’s arrest rate. Verify the effect of them with General Mixed model.

Cluster the juvenile delinquents into different groups based on their psychological symptoms.

Find the effect of the Seeking Security Program developed in the project on those participating girls. Identify the

problems of the program and verify the importance of it.

SPSS and SAS are used. Factor analysis, Repeated Measure Anova, Data Mining, and Regression Tree are applied

Statistical Research Assistant, San Diego State University Research Foundation

2/2010 -6/2013

Project: Survival Analysis in Heart Rate Dropping and QRS Prolongation

Using heart rate and QRS changes to predict patients’ survival time.

Identify the factors that affect heart rate and QRS.

Find out that if medications can really help during the last 24 hours of patients.

Identify the best treat time for doctors when they observe patients’ heart rate and QRS change

SPSS and R are used. Kaplan–Meier curve, Survival Analysis, Repeated Measure, Anova, and GLM are applied in

this project.

Project: Factors Associated with Labor Trafficking Issues In San Diego County

Identify the factors affecting labor trafficking issues among the illegal immigrants in San Diego County. Predictive

models are set up for predicting the chance of being trafficked by employers.

Regression Tree, Bagging, Bootstrap methods are implied in the analysis.

R, SAS, and SPSS are used.

Project: California DUI Project

Key statistical analyst in California State DUI Educational Programs for Wet Reckless Driving.

Collect data of different education programs for wet reckless drivers in California.

Provide statistical analysis of statewide data including fees, enrollment, cost for program providers, evidence of the

result of the program, etc.

Responsible for evaluating the programs, comparing the results between different program providers, predicting the

trend of program development and providing customized reports.

Descriptive Analysis, Multivariate Regression, Predictive modeling, and Data Mining etc. are applied.

Project: Environmental and Heritable Influences on Aggressiveness in Drosophila

Search for genes whose expression levels correlate with the influence of social experience on aggressiveness in

Drosophila by performing microarray analysis of head tissue from socially isolated vs. socially experienced male

flies.

R is used in this project.

Research Assistant, Department of Finance, San Diego State University

01/2009 - 08/2010

Project: National Housing Price Project

Analyze the price dynamics in two significantly different types of markets based on data from a large panel dataset

covering 300 MSAs and divisions and sample ranges from 1965Q1 to 2008Q4.

Authored a research paper “Factors Affecting Housing Price and Housing Market Dynamics” which wins the Daniel

Weintraub Endowment Research Paper Award in May 2009

Autoregressive Mean Reversion (ARMR) Model, Time Series Analysis, and Monte Carlo Simulation are applied.

Honors and Awards

09/2011 General Fund Student Scholarship, SDSU

05/2009 Daniel Weintraub Endowment Scholarship, Dept of Economics, SDSU

09/2008 Terhune Economics Scholarship, Dept of Economics, SDSU

10/2007 Outstanding MS Graduate Student Award, Dept of Experimental Statistics, LSU

08/2007 Member of Gamma Sigma Delta Honorary Society, LSU

Publications

“Measuring Labor Trafficking with Respondent Driven Sampling: Findings from a U.S. Study,” A Human Rights

Perspective Workshop in Goettingen, Germany February 3-4, 2012

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