"Hi!

Myself: 

For the last decade, my day job has been being a hybrid statistician / programmer. More specifically, I build predictive models while ingesting a lot of data, and then I have to bring those models into production (with programming). I also recently finished a master's degree in statistics, wanting more foundation for what I do day-to-day.

Tutoring Experience: 

I tutored whilst in my undergrad, but a lot of my tutoring also comes from explaining things to colleagues or on-boarding new colleagues. Further, I ran a summer internship program, where I developed a curriculum for grad students of varying skill levels.

Math and Computer Science Background: 

I'm constantly having to use math/statistics to answer questions revolving my work. Further, I'm always in a state where I'm reading new academic papers that might give me an edge in my day job. Lastly, to further my own "self-education" during work, I finished a master's degree in statistics, seeking out a more theoretical underpinning of what I do. With regards to Computer Science, I have over a decade of industry programming experience, initially building "full stack" web applications before "full stack" was a word to now building latency sensitive applications.

Expectations: 

It takes two to tango. While I can help you understand and grasp material, for the material to become ingrained, it's going to take hard work on your part as well! I can help setup a game plan for you that can result in that mastery. If that sounds like something you're good with, then please contact me!

Best,

Nam" less...