Resume Detail

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About The Candidate

Resume ID #: 916
Current Location: Columbia mo
Position Desired: Permanent
Travel: Weekly
Relocate: Yes
Experience
SAS Experience
SAS Version9x
SAS Certifications
SAS Certifications
SAS Certified Base Programmer for SAS 9
SAS Certified Advanced Programmer for SAS 9
Other Experience
Industry Experience
Health Care
Higher Education
Project Management
Pharmaceutical and Biotechnology
SAS Experience
System Administration
SQL programming skills
SAS Product Experience
Base SAS®
Enterprise Guide®
Enterprise Miner™
JMP®
SAS / STAT®

Work History

Heart of Missouri United Way 01/ to /
Research Intern
• Give statistical insight to annual report of Community Impact Program.
Spatial Analysis Group Chinese Academy of Sciences 09/07 to 07/2013
Visiting Student
Validation of Single Point Areal (SPA) Estimation model
• Programmed to crawl the PM2.5 mass concentration monitoring tweets in Twitter, and collected the data.
• Coded to clean more than 30 surveillance stations real-time mass concentration monitoring data in Beijing government.

Relationship between Cardiovascular Diseases (CVD) and Fine particle Air Pollution in Beijing
• Learned crucial sequence alignment methods, including dynamic programming, substituion matrix building, progressive comparison method, and hidden Markov model.

Geocoding of Beijing’s CVD death cases
• Built rules and standardized cases’ address using R package, which could be applied to any addresses in ChinaCDC Nationwide Disease Surveillance Points.
• Geocoded 100 thousand cases’ address using Google and Baidu API Service, and reversed Geocoding coordinates to address to confirm the geocoding results.
Chinese Center for Disease Control and Prevention 05/09 to 09/2012
Biostatistics Intern
National Survey of Occupational Health
• Supportedexpertsandcooperatedwith3biostatisticsgraduatestudentstoestimate the nationwide incidence of occupational diseases and occupational hazard exposed corporations.
• Programmed in SAS to clean raw data of 2 billion observations and 30 indicators.
• Computed the uncertainty of simple random sampling and proportion method by calculating confidence interval, and simulation of Markov chain, and then compared these with MSN- B-SHADE estimation.

Team member 10/2011-05/2012 Chinese Center for Disease Control and Prevention
Study on Socio-economic Status (SES) Indicators Associated with the Hand-Foot-Mouth Disease (HFMD)
• Computed the prevalence between SES and HFMD with indicators selected from 30 indicators with the HFMD data of China in 2010.

Education and Professional Training

University of Missouri 08/05 to 05/2015
Columbia Missouri
Master in Statistics

SAS Experience Narrative

•Base SAS
•SAS/MACRO
•SAS/ODS
•SAS/SQL
•SAS/STAT
•SAS/Connect
•SAS Enterprise Guide

Non-SAS Experience Narrative

•R
•MySQL
•Hive
•Python
•LaTeX
•STATA
•MS Office
•SPSS
•HTML