I mostly work with Railsy Ruby and Python, sometimes React, and I have a good understanding of Docker at the personal-project level. I have plenty of experience with exploratory data analysis, usually in the context of Google Analytics and digital marketing campaigns, but have been working more with the Python data-science stack over the last few years.
Most of my learning and side projects have been focused on data science and machine learning, particularly related to sports. More recently, I've been picking up basic data science in R in order to expand the data and analytical tools available to me.
projects and hacks
Tipresias, my machine-learning model/app for predicting results of Australian Football League (AFL) matches has been my principle project since mid-2018.
I'm really interested in all aspects of data science (data engineering, machine learning, analysis, etc.), so I'm always looking for opportunities to learn new things in this area.