Hello. A little bit about me…. I’ve been a research scientist for many years getting my start in high school as a summer intern at NASA AMES Research Center in Mountain View, CA. Since then I’ve worked at many of Silicon Valley’s leading research institutes and am currently a research affiliate at Lawrence Berkeley Lab. Now I’m studying data science.

Why? Because I find it interesting and the subject matter appeals to my problem solving instincts. After some gently prodding from friends, I started my foray into data science ~2 years ago with Coursera. Since then I got the data science bug. Now I’m at Metis honing my data science skills.

Skill number one is Python programing. I started Python self study about a year ago then went on to formal study at the Data Incubator (Thank You Jim!).

So I had a decent background starting python here at Metis. However, I’m still getting use to python’s “clunkyness” . That hasn’t stopped me from getting some useful info from the MTA database: if I were registering student voters I’d like setup my boot at a MTA station near a CUNY school in Queens as apposed at a station stop near Columbia.