Jenna Bedrava

Background

About Jenna Bedrava

I am a creative quantitative problem solver fluent in R, Python, and SQL with experience working in Tableau and Power BI. I am formally trained in both statistical theory and application and have mastered the communication of complex statistical concepts to lay audiences, as evidenced by my experiences working with cross-functional teams as a statistician at Abbott Laboratories and as a graduate student instructor, research assistant, and genetic epidemiology intern.I have experience or familiarity with the following concepts: probability theory, linear regression, generalized linear regression, linear mixed effects models and other longitudinal data analysis methods, time-to-event and survival models, classification models, boosting models, shrinkage techniques (LASSO), propensity score weighting, multiple imputation, Markov processes, clustering techniques, natural language processing, dimensionality reduction techniques (PCA, tSNE), relational database design, machine learning (k-means, KNN, gradient boosting)