Data-First Decisions
Measure, develop options, analyse, then decide. Every campaign starts with what the numbers say, not what feels right.
My path didn't follow a straight line. I built a translation agency, then stopped outsourcing the marketing and started doing it myself. What began as a practical decision turned into a genuine area of focus. I became interested in what actually drives results, not just what looks good.
Tools are not a flex. Only the ones that actually move the number stay in my stack, and each one below has been run on real campaigns, not a demo account.
Measure, develop options, analyse, then decide. Every campaign starts with what the numbers say, not what feels right.
Take full responsibility within defined scope. If something breaks, I fix it. If something's missing, I build it.
Detail-oriented execution without losing strategic view. The small things compound into big results.
Always testing, always improving. A campaign is never finished, it's only at its current best.
Research-backed proposals using AI tools where they add value. Not replacing thinking, but sharpening it.
"Details make perfection, and perfection is not a detail."
Leonardo da Vinci
I'm looking for Performance Marketing and Digital Marketing roles in Berlin. Available as a working student immediately, full-time during semester breaks, and transitioning to full-time after completing my MSc (expected September 2026).
If your campaigns aren't converting the way they should, I'd like to understand why.