Without a doubt, there are more experienced programmers than me. But I will be able to deal with pretty much any real problem in the mentioned programming languages, and I am particularly versed in translating both domain knowledge and statistical methods to program code.
As part of the MIT classes as well as the Deeplearning.AI courses, I have worked with most techniques that are currently popular, mostly neural networks (FFNN, LSTM, CNN). In addition, I am working currently on a concept for a bias-remedying NN for hiring/evaluation.
Having produced all kinds of printed products, from leaflets to books with hundreds of pages, both manual and with data-automation, I consider myself very experienced in Indesign. Photoshop and Illustrator serve supportive purposes for print production in this context.
I have quite some experience with Matplotlib, Plotly, and Dash, and can realize complex projects using these libraries.
As for PowerBI and Tableau, these are on my list for skills yet to be developed, but with a general understanding of visualization as well as technicals tools used for it, this is mostly a matter of time.
I have experimented with Javascript libraries Canvas and P5.js for creative coding and generative art. I wish I had more time exploring them though.
Mathematical and applied statistics play(ed) a major part in the MIT Micromasters programme, and they are important for a sound foundation of data science principles.
Ethics of AI is a topic I am generally interested in, and which I have studied as part of a programme taken at London School of Economics (LSE).
Much of data science is nowadays happening „in the cloud“, or using existing tools and services offered by the large cloud providers – I am familiar with many of them, but it certainly is an environment changing and evolving quickly.
Having worked as director of the executive secretariat of the Lindau Nobel Laureate meetings for almost 14 years, I have a lot of experience in associated topics, from leadership to funding to HR.
Effectively following the OODA loop, I consider one of my strengths. Although it originates from military strategy, it can be applied to any project management / leadership / life situation: Observe (your environment), Orient (yourself based on observation, knowledge, values, input from others, etc.), Decide (what to do) and finally Act. Repeat when necessary.
A more modern wording for this would be: Listen, analyze, come up with a solution, realize it.