| Hello all. I've a mix profile: senior Data Scientist on my day job, self-tought web dev on my spare time.
Now, after many years being employed I'd love to start freelancing but I feel I need to specialize on something to become more sellable. My skillset looks like this:
- Data analysis (high)
- Data visualization (high)
- Data engineering (mid)
- Machine learning (mid)
- Frontend (low)
- Backend (low) I'm more experienced on the data part but also I believe it's more challenging to create a healthy client funnel. Options I see: A) Data Science track - discarded for freelancing B) Data engineering track - get some certifications on Big Query or Looker to become an expert C) Front-end - what has more demand as a freelance? D) Back-end - what has more demand as a freelance? I'm really open to learn anything until mastering, but I don't know what. I'm currently valued at my day job and quiting to start as an entry-freelance on something that I'm not proficient (yet) scares me. But at the same time I'm not sure I'd enjoy a data analysis job as a freelance. Another thing that scare me about the "web track" is the amount of different technologies out there. How can I compete agains other freelancers with a huge list of libraries and APIs? Is that critical to land a freelance job? What would you do in my situation?
Where there is more demand? |