My main ones are career focused:

- Vastly and in depth expand my knowledge of data architecture approaches. I'm an analytics engineer but have no experience in high level planning of architecture and I feel like I'm missing a lot of knowledge of the field.

- Learn data engineering skills like handling event streams. I'm very happy with my analytics engineer position, but it seems like standard data engineering is a very desired skill for any new career opportunities.

- Learn how to manage a small SaaS company and the product. I'm in the finishing stages of a platform that I have been developing by myself(while my cofounder is the industry expert). Neither of us has knowledge on what it takes to launch and sell this product, for which we know there is demand in the industry.

- Create practical real life ML workflows. I have only theoretical experience since I never had the need or opportunity to work with a more real scenario. This is both from personal interest and for career growth.

- Start and actually approach university in a meaningful way. I have a respectable career, but no higher education, which has always weighted on me

Some non-technical:

- Force myself into more social situations, especially with absolutely non-tech people.

- Just started treating ADHD, so hopefully wrangle that