<commit_before>---
layout: page
title: About Ty
permalink: /about/
---
Well, hello there. My name is Ty, and I'm either a data scientist or I'm almost a data scientist. In my old job I was a business consultant and analyst of sorts, helping to make a federal government agency more efficient by better leveraging technology such as Salesforce CRM, and through business process improvement and analysis, among other things. 

In January of 2015 I decided I wanted to get back in to coding to be a web developer, so I taught myself Ruby, and subsequently decided I did not want to be a web developer (no offense to Ruby). In May of 2015, I decided I wanted to be a data scientist, which kind of makes sense because I studied industrial engineering in college and thus have a decent background in statistics, optimization, linear and discrete mathematics, etc. So, I taught myself python, pandas, numPy, statsmodels, and am in the progress of learning the power of Dato's (formerly GraphLab's) SFrame and  visualization tools such as <a href="http://d3js.org/" target="_blank">D3<a>,  <a href="http://bokeh.pydata.org/en/latest/" target="_blank">bokeh</a>, and <a href="http://www.highcharts.com/" target="_blank">highcharts</a>.

I have since left my day job as an industrial engineer to pursue data science full time, because that's how much I love it. Some of my projects include a recommendation engine for <a href="https://github.com/yorktronic/hots-comp-calc" target="_blank">building a team in Blizzard's Heroes of the Storm</a> (still very much a work in progress), and I've done <a href="https://github.com/yorktronic/data_science">a ton of work</a> for Thinkful.com's data science course. I'm also enrolled in Coursera's Machine Learning specialization.

Some less nerdy activities include skiing, cycling, knife making and sharpening, <a href="https://inactionhero.bandcamp.com/">making electronic music</a>, cooking, being a former competetive video game player, and working on cars. I also like turtles. Is that weird?

Oh and I'm looking for work as well -- you can email me at <a href="mailto:<EMAIL>" target="_top"><EMAIL></a>, and feel free to check out any of the links below for my github, linkedin, etc.

/ty

![My helpful screenshot]({{https://github.com/yorktronic}}/images/Data_with_pipe_380x380.jpg) <commit_msg>added description of stupid image of data + science<commit_after>---
layout: page
title: About Ty
permalink: /about/
---
Well, hello there. My name is Ty, and I'm either a data scientist or I'm almost a data scientist. In my old job I was a business consultant and analyst of sorts, helping to make a federal government agency more efficient by better leveraging technology such as Salesforce CRM, and through business process improvement and analysis, among other things. 

In January of 2015 I decided I wanted to get back in to coding to be a web developer, so I taught myself Ruby, and subsequently decided I did not want to be a web developer (no offense to Ruby). In May of 2015, I decided I wanted to be a data scientist, which kind of makes sense because I studied industrial engineering in college and thus have a decent background in statistics, optimization, linear and discrete mathematics, etc. So, I taught myself python, pandas, numPy, statsmodels, and am in the progress of learning the power of Dato's (formerly GraphLab's) SFrame and  visualization tools such as <a href="http://d3js.org/" target="_blank">D3<a>,  <a href="http://bokeh.pydata.org/en/latest/" target="_blank">bokeh</a>, and <a href="http://www.highcharts.com/" target="_blank">highcharts</a>.

I have since left my day job as an industrial engineer to pursue data science full time, because that's how much I love it. Some of my projects include a recommendation engine for <a href="https://github.com/yorktronic/hots-comp-calc" target="_blank">building a team in Blizzard's Heroes of the Storm</a> (still very much a work in progress), and I've done <a href="https://github.com/yorktronic/data_science">a ton of work</a> for Thinkful.com's data science course. I'm also enrolled in Coursera's Machine Learning specialization.

Some less nerdy activities include skiing, cycling, knife making and sharpening, <a href="https://inactionhero.bandcamp.com/">making electronic music</a>, cooking, being a former competetive video game player, and working on cars. I also like turtles. Is that weird?

Oh and I'm looking for work as well -- you can email me at <a href="mailto:<EMAIL>" target="_top"><EMAIL></a>, and feel free to check out any of the links below for my github, linkedin, etc.

/ty

![My helpful screenshot]({{https://github.com/yorktronic}}/images/Data_with_pipe_380x380.jpg) 

P.S. get it? data science? 
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