Manager Data

Yao Wan

**** * **** **, *** *** Arlington, VA ***02 ********@*****.*** 202-***-****

OBJECTIVE

A challenging position as a Data analyst/ SAS programmer where I can put in use the best of my knowledge and experience of SAS programming for the growth of the organization.

SUMMARY OF QUALIFICATIONS

• SAS Certified Advanced Programmer for SAS 9 (2014).

• Over 4+ Years of experience in SAS programming including macros, SQL, R, and SPSS.

• Ability to analyze, model, and convert data with efficiency.

• Research Analyst (Intermediate) certificate - issued by the National Bureau of Statistics (2009).

• Highly motivated, detail oriented and hard working.

EMPLOYMENT

Research Associate Alpine Audio Now, LLC Washington DC 10/2013-04/2014

• Co-author of the project ‘Study of Somali and Haitian Remittance Habits’.

• Supported the marketing and sales team in mapping trends in demographic data.

• Conducted statistical research in monthly call traffic report using SAS to run descriptive statistics and develop graphics.

Foreign Currency Consultant Bank of China Co., LTD Beijing, China 08/2010-05/2012

• Took charge of all cross-border payments, Cross-border RMB, L/C, Capital Accounts, External Debt Accounts and Stock Options Accounts.

• Managed Foreign Exchange under all of the international trades, strictly carried out the provisions of the State Administration of Foreign Exchange (SAFE).

PROJECTS

Study of Somali and Haitian Remittance Habits Alpine Audio Now 11/2013-04/2014

• Constructed, cleaned, validated, modified, and analyzed 1.4 million quantitative and qualitative data by using SAS. Generated geographic distribution of end-users.

• Worked in conjunction with and in support of statistician and marketing manager.

• Assisted in writing report. The report was published on August, 2014.

Multi-indicators Estimation for Air Pollution George Washington University 04/2014

• Defined data requirements, created predictive variables, detected outliers and transferred

variables to satisfy the homogeneity of variance.

• Used statistical analysis procedures in the generation of reports periodically for analyzing the data

using SAS R procedures such as Regression, Univariate, Correlation, and ANOVA.

• Built and validated multivariate linear, logistic, binomial models using SAS.

• Selected principle factors by principle component analysis, compared models index.

Analysis of Auto fuel consumption using R Capital University of Econ and Biz 12/2009

• Obtained descriptive statistics, filled missing values by correlation and regression analysis.

• Fitted linear model. Conducted ANOVA, factor analysis and KMO test.

• Performed hierarchical cluster analysis, classification and regression trees, and random forest analysis by using R. Time series forecasting using ARIMA.

EDUCATION

The George Washington University M.S. Statistics, 2014 GPA: 3.73

Capital University of Econ and Biz (China) B.S. Statistics, 2010 GPA: 3.3

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