Things about me:

• I used to work as a fraud analyst for an e-commerce company.
  Now I work doing infosec datageekery for a very large retailer.

• This means I spend a lot of time building and using tools that crunch data.

• I'm not a coder, but I do a fair chunk of coding.

• I'm not a statistician, but I end up doing a lot of stats work at times.
• I'm not a data scientist, but I have to build and use data tools.
• I'm not a detective, but I have to hunt down and stop bad guys.

A lot of my job is hunting down and slaying black swans.
Making sure the improbable becomes visible and mitigated is kind of what I do.

My last degree was in Rhetoric and Political Communications.
The one I'm working on currently is in Applied Math.
After that, it's a Master's in Stats.
Then I'm done. I promise. Until the next really cool Coursera class comes up.

I do (or have done, possibly a while back) work in Perl, Python, R, C, 6502 Assembler, and Javascript.
My weapon of choice lately has been R. I'm always surprised how much you can do in R.
Next up is Julia.

The last really fun nerd thing I did was build a Hadoop cluster out of Raspberry Pi's.
Just in case I need to tackle the "Airline" dataset at home. Using Raspberry Pi's.

People who argue about Vim vs Emacs are both wrong. The answer is Sublime Text.