This is a selection of the statistics and data science projects I worked on.

Transport Mode Prediction from GPS Data

For my Master's thesis I worked on machine learning solutions to transport mode prediction from GPS data collected in a national travel survey.

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Plausible Parameter Space, a R Shiny App

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.

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Open Source Contributions

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!