If you are looking for a list of programming competencies, continue to the technologies section. I myself do not put much weight in that sort of thing. If you'd like to read what value I believe I bring, then read on.

Upon joining the workforce, I was dismayed by the thought that my B.S. and M.S. in mathematics were foolish choices when employment clearly lies in data science. Those with a computer science degree had a leg up on me with credentialized knowledge of algorithms, and those who entered I.T. immediately after high school had years of practical experience. I was at a loss. In distraught and with only Python experience, I began picking up new skills.

Cloud, data, and machine learning. Those were my targets. Ambitious? Yes. A gigantic amount to learn? Absolutely.

I started out with online introductions via Udemy, etc., but quickly realized that learning through building was the way to go. My GitHub push frequency, AWS usage, code fluency, and data understanding all started to climb.

The more I went on, the more I realized what my degrees had really given me. Instead of struggling to pick up new skills and getting bogged down in one way of doing things, my background allowed me to see the bigger, more abstract form of data science and programming.

So, what value do I bring? (tl;dr)

Any technologies or skills required to get a job done can quickly be integrated into my arsenal. I understand underlying structures and ideas; I don't waste my own time memorizing small tidbits of info that anyone can just Google. This makes me mentally agile and flexible.

Open to freelance and employment, large and small projects, and a preference towards remote work, contact me to bring a thinker onto your team.