My name is Hal Svien; I’m a currently funemployed data scientist. Check out the LinkedIn page on this site to see more about me and my work history. I have a master’s degree in psychology from Brigham Young University and am doing a second master’s degree in CS at UPenn. I use the blogdown package in R to create this site. You can find the Github repository link at the top of the page. You can also email me any time at halsvien@gmail.com.
I’m going to use this data science blog to explore cool uses of statistics and data science techniques. I was mostly trained in the general linear model of statistics, so over time I’ll try to take on projects where I use the generalized linear model, machine learning, and structural equation modeling (which I already know, to some degree).
My general approach to posts here will be to lay out what I’m doing and why; this will typically look like a short discussion into what I’m doing and links to any data or articles, how I’m going to do it and why I use certain methods over others, and a review of findings along with any admonishments we should probably make about the data in question. Please feel free to give me any feedback you have about anything in this blog!