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Hi r/aquaculture community,
Im Alex,I have an Integrated Masters, graduate in Marine Biology (Ichthyology specialization)
from University of Thessaly, Greece, currently exploring career paths in
aquaculture with a data-driven focus.
A little bit about myslef, I currently work as Quality Assurance in a Seafood Factory processing plant for nearly 3 years. I have taken certified courses in Python, R, ISO 22000 and finishing Biostatics and currently learning SQL.
To be honest, I'm at a crossroads.
I started in QC because I wanted to start from somewhere. And I learned A LOT -
regulations, safety protocols, how a factory actually runs. But after
3 years, I realized I was doing the same tasks on repeat. No growth,
no real problem-solving.
So about a year ago, I started teaching myself data skills - Python,
R, SQL. Not because it was trendy, but because I noticed something:
all the QC data we collected was just... sitting there. Nobody was
analyzing it. And I thought, "What if someone could actually USE this
data to improve farming?"
That's when it clicked. I don't want to leave aquaculture. I want to
approach it differently.
**The reality check:**
I'm not a "pure" data scientist. I'll never be as good at machine
learning as someone who studied CS from day one. But I have something
they don't: I actually understand aquaculture. I know what fish
farmers care about. I've seen the problems from the inside.
So here's where I'm stuck:
**Imposter syndrome is real** - When I see job descriptions asking
for "5 years Python + advanced SQL + Tableau," I wonder if I'm
wasting my time. Am I competitive enough?
**The fish-or-fowl problem** - I'm not a "true" biologist anymore,
but not a "true" data scientist either. Companies want one or the
other. Do they value the hybrid?
**Geographic reality** - I'm in Greece. The aquaculture data jobs
are in Norway/Nordic countries. Is it worth relocating? Or am I
better off pivoting to general data roles and losing my domain expertise?
**Path confusion** - Should I:
- Apply for junior analyst roles in aquaculture (even if I'm under-qualified)?
- Take a generic data analyst job to build stronger technical skills first?
- Build a portfolio project to prove I can actually DO this?
- Go all-in on certifications (AWS, Tableau, etc.)?
**What I AM looking for:**
- Real talk from people in the industry
- "Here's what actually worked for me when I was in your shoes"
- "Here's where you're being unrealistic"
- Honest takes on whether this transition is viable or if I'm chasing a dead end
Has anyone here done a similar transition? Marine background → data role?
What was the actual experience vs. what you expected?
Thanks for reading. Genuinely appreciate any insights.
—Alex