This is a selection of the statistics and data science projects I worked on.
For my Master's thesis I worked on machine learning solutions to transport mode prediction from GPS data collected in a national travel survey.
This Shiny App is designed to help users define their priors in a linear regression with two regression coefficients. Users are asked to specify their plausible parameter space and their expected prior means and uncertainty around these means.
A collection of efforts to which I contributed, but did not create. Contributing back to Open Source projects is a strong passion of mine, and requires a considerate approach to learn norms, standards and approach for each community for a successful merge!