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Statistics models, Data Analyst, Data Visualization, Data Management.

Location:
Palo Alto, CA
Posted:
October 15, 2020

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Resume:

Wen-Yu Lee

Palo Alto, California, United States adgzi4@r.postjobfree.com 669-***-**** linkedin.com/in/wen-yu-lee-2a265b19a EDUCATION

Master of Science in Statistics

Washington State University • Pullman, WA • 2020 • 3.78 Bachelor of Science in Mathematics and Statistics

Tamkang University • Taipei, Taiwan • 2016 • 3.23

SKILLS

Professional skills: Statistical Data Analysis, Statistical Data Modeling, Data Mining, Data Visualization, Data Management Programming Languages: SAS, R (Certificate), SPSS, Microsoft Office, SQL, Minitab, Maple. Languages: Chinese, English.

EXPERIENCE

Statistical Research Assistant

• Created weekly analysis reports in R to summarize experiments in medical projects for respirator for infant with respiratory disease.

• Back-filled empty data points for sparse datasets by imputation methods to reduce the biases of analysis and avoid losing information.

• Communicated with doctors for experiment designs and statistical conclusions by providing different regressions and (M)ANOVA tests. Statistical Research Assistant

• Analyzed medical data (1000+ observations and 15+ features) collected from patients and modeling in R and SAS for Ph.D candidates.

• Responsible for explaining statistical meaning of P-values obtained in (M)ANOVA and Regressions.

• Discussed the most suitable models for the research through email and Skype and made conclusion through data analysis. PROJECTS

(Paper in Review to publish) Examining the Rate and Perspectives of Statistical Consultants in a Private Practice Washington State University • September 2019 - July 2020

• Created the survey on WSU qualtrics and collected data from 731 American Statistical Association (ASA) members.

• Imputed 300+ missing values with substituted values and tested assumptions, multicollinearity (VIF), and model selection (AIC).

• Determined the predictors influencing the rate by conducting different regressions and analyzing P-values (0.6+ R-squared models).

• Concluded statistical years, regions, living cost, and degrees affect the rate and models can be used to predict the rate for statisticians. Analyzing the Unit Price of House in Beitou, Taiwan through Multiple Linear Regression Washington State University • January 2020 - June 2020

• Led the group to analyze the predictors affecting the house price with 414 observations by multiple linear regression.

• Tested normality, heteroscedasticity, multicollinearity, influential observations, and outliers before analysis.

• Concluded transaction date, house age, distance to MRT station, the number of the convenience store and latitude affect house price. Morphometric Data on Rocky Mountain and Arctic Wolves Washington State University • September 2019 - December 2019

• Analyzed 9 different structures of wolves’ bodies by gender and location with 50 observations in R

• Classified wolves by cluster and discriminant analysis with 97.6% accuracy and applied (M)ANOVA, normality and goodness-of-fit test.

• Difference between gender on rocky mountain wolves only and rocky mountain wolves and arctic wolves profile are not parallel. Sampling Report: Survey and Analysis of Breakfast Shopping Habits Questionnaire Tamkang University (Taipei, Taiwan) • January 2016 - June 2016

• Developed and implemented survey with 4 areas, 4 times, 5 groups of age, 5 levels of incomes, Top 10 popular items and 5 flavors.

• Compared the difference among the predictors by providing different plots via descriptive statistics.

• Analyzed data by hypothesis tests, confidence intervals and regressions and data analysis can be referred for breakfast business. R Language Program Report: Large Data Analysis – Place of Residence Associated with the Product Tamkang University (Taipei, Taiwan) • May 2014

• Analyzed 60000+ large datasets with 20+ variables and 3000+ observations in R.

• Reported the statistical meaning of each plot such as bar plot, pie plot, and scatter plot.

• Diagnostic of assumptions tests (normality, constant variance, independent and outliers) before analysis by linear regression. Department of Biomedical Engineering, Chung Yuan Christian University July 2016 - June 2018, Taipei, Taiwan Department of Nursing, National Yang-Ming University January 2016 - June 2016, Taipei, Taiwan



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