Jason Schvach

From Chicago, completed MSc in Data Science 6 years ago in Scotland. Hobbies include sports, data, and programming.

I am at an intermediate level of coding in Python and have mentored various python beginners that I have met through Facebook groups, StackOverflow, junior Data Scientists on my team, and new MSc Data Science students . I work with many of the machine learning packages in Python such as scikit learn, keras, TensorFlow, various python visualizations, NLP, computer Vision, etc. Alot of what I like to do in my spare time is collect data via web scraping techniques, or with automated browsers, to utilize in machine learning workflows.

I have three philosophies:

1. First just get it to work, THEN if need be, get it to work fast.
2. Don't try to boil the ocean (don't try to solve an entire problem on first go, break it up into smaller simpler tasks, then you can embellish and add on.
3. You don't need to memorize everything, but you should be able to be resourceful enough and look it up/Google it. Find examples or tutorials that exemplify what you are trying to do, or the issue you are having, and adapt it to your personal needs.

Lastly, here is a video of a talk I gave at conference describing my MSc project. https://www.youtube.com/watch?v=Z3rbo3WoMME