Travis Byrum

travis.tbyrum@gmail.com

Education

2009-2013

BSc, Statistics; Duke University (Durham, NC)

• Coursework Includes: Multivariable Calculus, Linear Algebra, Probability, Mathematical Statistics, Data Analysis/Statistical Inference, Regression Analysis, Bayesian/Modern Statistics, Decision Theory, Statistical Consulting, Survey Statistics

• Dean’s List Fall 2011, Fall 2012, and Fall 2013

  Senior Thesis: Wavelet-Based Functional Modeling of Accelerometer Data in Fitness Intervention Study

Technical Skills

Languages: R, Python, MySQL, PostgreSQL, LaTeX, Markdown

Tools: IPython, matplotlib, numpy, scikit-learn, BeautifulSoup, caret, Shiny, ggplot2, git, Github, Sweave, knitr, Unix Utilities, AWS, Microsoft Office, Qualtrics

Statistics and Machine Learning: Classification, Regression, Mixed-Effects Models, Clustering, Ensembles, Dimensionality Reduction, Hypothesis Testing, Decision Analysis, Bayesian Statistics, Nonparametric Methods, Data Visualization

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