TANG, CHENGKE

Address: *** * ******* ** *** E, Alhambra, California, 91803

Email: acuh92@r.postjobfree.com

Cell Phone: 213-***-****

EDUCATION

University of Southern California (USC), Los Angeles, CA, U.S. Aug.13-May.16

Master of Science in Applied Biostatistics and Epidemiology

GPA: 3.6/4.0

Main Courses: Principles of Biostatistics, Data Analysis (Linear), Data Analysis (Logistic), Data Analysis (Longitudinal), Statistical Methods for Epidemiological Studies, Design of Clinical Studies, Principles of Epidemiology, Health Service Delivery in the U.S., Foundations in Health Education and Promotion, Infectious Disease, Environmental Health.

Beijing Technology and Business University (BTBU), Beijing, China Sep.09-June.13

Bachelor of Engineering in Food Science and Engineering

GPA: 3.2/4.0

Main Courses: Principles of Chemical Engineering, Probability and Statistics, Calculus, Linear Algebra, Food Analysis, Food Microbiology, Food Nutrition and Hygiene, Food Additive, Food Chemistry.

RESEARCH EXPERIENCE

Admixture Genetic Data Study Using Children’s Health Study Data (USC)

A study that detect the longitudinal association between genetic ancestry and obesity incidence rate

Research Assistant Advisor: Dr. Gilliland, Frank (USC) Nov.14-Mar.16

Conducted data cleaning for raw data using SQL and Macro procedure in SAS.

Generated hazard regression model to evaluate the association between genetic admixture and obesity.

Analyzed effect modification and confounding.

Conducted stratified analyses on different categories of effect modifiers.

PROJECTS

Linear Regression Project (USC), Data Analysis (PM511A)

Analyzed an epidemiological study data using SAS Jan.14-May.14

Conducted linear regression to set a predictive model for the whole dataset.

Cleaned data and created a descriptive table for all the variables.

Summarized and reported findings.

Statistical Project (USC), Statistical Methods for Epidemiologic Studies (PM518A)

Analyzed a case-control study data on benign hyperplastic thyroid disease using SAS Jan.15-May.15

Performed univariate analysis on all the variables.

Used multivariate analysis to create a predictive model for hyperplastic thyroid disease.

Cleaned data and created a descriptive table for all involved variables.

Summarized and reported the finding of the data analysis on hyperplastic thyroid disease.

SKILLS

Language: Native in Chinese, Proficient in English, Entry-level in Japanese

Computer Skills: SAS, STATA, R, SPSS, PASS, nQuery, Microsoft Office

CERTIFICATIONS

Certified Base Programmer for SAS 9 (Scoring 92%)

Certified Advanced Programmer for SAS 9 (Scoring 88%)

SUMMARY

Over 3 years of statistical modeling experience.

Experience in Base SAS, SAS/Stat, SAS/SQL, SAS/Macros, SAS/Graph, SAS/Connect, and SAS/Access on Windows platforms and competence in carrying out statistical analysis of large-scale data.

Experience in using data steps in SAS for creating, maintaining and manipulating datasets.

Experience in working with SAS Enterprise Guide (SAS EG) Software for reporting and analytical tasks.

Quality assurance procedures of other programmers' work, validating, debugging, documenting and optimizing SAS programs for QC and QA.

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