Experience

Your.Rentals

• Sweden
• Software Development
• 1 - 100 Employee

• Data Scientist

  • Apr 2022 - Present



Nutrition Epidemiology in Lund University

• Statistician

  • Sep 2022 - Present

  Malmö, Skåne County, Sweden · Led in data cleaning, quality check, and visualization for 1 million hospital records from 1991 to 2010 via SAS & Excel and completed data automation to generate data analysis for future reports using SAS MACRO and SQL. · Provided statistical recommendations on experimental designs, power analysis, and protocol development of various analysis of epidemiology studies; performed statistical analysis using data modelling methodologies with R&SPSS. · Assisted in generating quantitative data… Show more · Led in data cleaning, quality check, and visualization for 1 million hospital records from 1991 to 2010 via SAS & Excel and completed data automation to generate data analysis for future reports using SAS MACRO and SQL. · Provided statistical recommendations on experimental designs, power analysis, and protocol development of various analysis of epidemiology studies; performed statistical analysis using data modelling methodologies with R&SPSS. · Assisted in generating quantitative data analysis reports and interpreted results for grant application and conferences. Show less



Shenzhen Kangning Hospital

• Data Analyst

  • Oct 2020 - May 2021

  Shenzhen, Guangdong, China Process missing data from big data sets and prepare analytical designs for further studies. Interpret and visualize data with Tableau. Conducted classification study of Alzheimer’s disease by using back propagation neural network and provided an auxiliary tool for clinical early diagnosis of Alzheimer’s disease.



Department of Statistics, University of Wisconsin, Madison

• Estimation of population mean for incomplete data from American Community Survey

  • Aug 2019 - Dec 2019

  Madison, Wisconsin, United States Pre-process a high-dimensional, incomplete dataset from Population Records. Impute missing values for predictors and dependent variables, respectively, with constant imputation, multivariate imputation by chained equations, and AMELIA in R. Estimate the state population mean of a component of income by GUIDE classification and regression trees and forests, RPART classification and regression trees, random forest, linear regression, and LASSO logistic regression in R.