Engineer Microsoft Office
Resume:
Kelley Qiu
**** *. ********* ****. **** ***, Franklin, WI 53132 Cell: 210-***-****
Email : ******.***@*******.***
PROFESSIONAL SUMMARY
A statistician with exceptional skills in interpreting and reporting different aspects of large data sets. With a background in medicine, biology and chemistry, I am especially well-suited as a biostatistician in a biomedical and/or health environment. My skill set includes data mining, time series and survival analysis using a suite of programming languages including MATLAB, R, SAS, Python, SQL and Tableau. I am outgoing person with strong communication and networking skills. I am looking forward to joining a vibrant company where I can use my talents to their full advantage.
CERTIFICATION
SAS base programmer for SAS 9--July 31, 2017
Machine Learning by Stanford University on Coursera--June 26, 2018
Programming for Everybody (Getting Started with Python) by University of Michigan on Coursera--June 28, 2018
Python Data Structures by University of Michigan on Coursera-- June 29, 2018
Microsoft SQL from A to Z on Udemy July 11,2018
Tableau 10 A-Z: Hands-On Tableau Training For Data Science on Udemy July 14,2018
TECHNICAL SKILLS
SAS-9 Certified Basic Programmer
R and RStudio Statistical programing
Python
SQL
Tableau
MATLAB analysis and graphics presentations
Microsoft Office 2016 competent (Word, Excel, PowerPoint).
PROFESSIONAL EXPERIENCE
2017 – 8/2018
Teaching Assistant College of Business
Dept. Management Science & Statistics, University of Texas at San Antonio
Answer students questions about R software and case study
Teach students of biostatistics class exercises
Provide grading services to professor
2016 – 2018
Statistical Project
I developed a SAS program to determine if there was a significant difference in survival of infants hospitalized for pneumonia based on their exposure, or lack of exposure to IgA in breast milk. After adjusting for relevant covariates, I determined that infants that had been breast-fed were on average, 50% less likely to hospitalized for pneumonia compared to their non-breast-fed cohorts.
In another project I developed an algorithm in SAS that successfully predicted the winners of the National Football League (NFL) 2008 season.
Using SAS, I derived a prediction equation for mortality from all causes in deaths per 100,000 population as a function of the predictor variables.
I was part of a team that used generalize linear modeling (GLM) in both R and SAS to determined relative impact of various input factors on Website production for new customers relative to the existing customer base.
Decision Analysis Project
I developed an algorithm that determined the quantity of coal to purchase from a collection of mining companies and how it should be allocated to the generating units.
I developed a simple algorithm that was able to determine the average waiting time of the customers at the Burger Dome restaurant.
2006 -- 2011
Medical Intern (Overseas)
SHENYANG BRAIN HOSPITAL (CHINA)
Participated in Grand Rounds
Interviewed patients, performed physical examines
Assisted physicians in diagnosis and treatments
Provided drug treatments including intravenous drug administration
Community Health Service Center Clinic (China)
Performed physical examines
Assisted in diagnosis
Provided acupuncture treatments
EDUCATION
2016 – 8/2018
M.S. Applied Statistics University of Texas at San Antonio
(expected completion August 2018)
2013 – 2016
Post-Bac Biology University of Texas at San Antonio
2005 – 2011
B.S. Medicine Liaoning University of TCM (China)
UTSA COURSE RELATED TO DATA ANALYSIS
CS 1173 Data Analysis and Visualization MATLAB Fall 2013
MAT 1214 Calculus I Fall 2013
MAT 1224 Calculus II Spring 2014
MAT 2214 Calculus III Spring 2016
MAT 2233 Linear Algebra Spring 2016
STA 1053 Basic Statistics Spring 2013
STA 1403 Probability & Statistics for Biosciences Fall 2014
STA 3003 Applied Statistics Spring 2016
STA 6033 Advanced Program. Database Management SAS Fall 2015
STA 5093 Intro to Statistical Inference Fall 2016
STA 5503 Mathematical Statistics I Fall 2016
STA 5103 Applied Statistics Spring 2017
STA 5513 Mathematical Statistics II Spring 2017
STA 6233 Advanced Statistics Program-SAS Software Spring 2017
STA 6013 Regression Analysis Fall 2017
STA 6903 Survival Analysis Fall 2017
STA 6923 Advanced Statistics Learning/Data Mining Fall 2017
ECO 6103 Econometrics & Business Forecasting Spring 2018
MS 5023 Decision Analysis & Production Management Spring 2018
UTSA COURSE RELATED TO SCIENCE
BIO 1404 Biosciences I Fall 2013
BIO 1413 Biosciences II Spring 2014
CHE 1103 General Chemistry I Spring 2014
CHE 1121 General Chemistry I Lab Spring 2014
PHY 1943 Physics for Scientists I Spring 2014
BIO 1122 Lab Investigations in Biology Fall 2014
BIO 2313 Genetics Fall 2014
CHE 1113 General Chemistry II Fall 2014
PHY 1951 Physics- Scientists & Engineer I Lab Fall 2014
PHY 1963 Physics for Scientists & Engineer II Fall 2014
BIO 2103 Human Physiology Spring 2015
BIO 3413 Advanced Physiology Spring 2015
CHE 1131 General Chemistry II Lab Spring 2015
CHE 2603 Organic Chemistry I Spring 2015
BIO 3513 Biochemistry Fall 2015
CHE 2612 Organic Chemistry I Laboratory Fall 2015
CHE 3643 Organic Chemistry II Fall 2015
PHY 1971 Physics-Scientists & Engineer II Lab Fall 2015
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