fig. 1 — izmir, 2026

Based in

Izmir, Türkiye

Studying

Ege University, Mathematics (CS-weighted), 2021–2026

Focus

Data scientist in the making — mathematics graduate who builds real systems, now looking for a production-scale role

I'm 24, based in Izmir, and I just finished a mathematics degree at Ege University — a CS-weighted programme I graduated from fourth in my department with a 3.44 GPA (2021–2026). Maths is the training; building working systems is what I actually do with it: a thesis pipeline that caught its own data leakage, a constraint-programming shift solver my ZARA section runs on daily, and a run of hackathon and competition projects that taught me more by failing than by winning.

None of that happened in a quiet study. I put myself through university working part-time at ZARA (Inditex) and moved to full-time the moment I graduated — running the shop floor and the coursework at the same time for years. In parallel I led a team at Teknofest, shipped side projects, and took a volunteer internship at Bluesense AI. Doing the degree, the retail job and the building all at once is where I learned to adapt fast, absorb a new domain quickly, and belong to a team rather than just occupy a seat on it.

That mix left me with a few things I'd list on a job application without flinching: learning agility, comfort leading under a deadline (Teknofest team lead), the corporate discipline of a large organisation like Inditex, and a genuine sense of belonging to whatever I'm building. I'm now looking for a production-scale AI / data-science role where I can put that to work full-time.

I'm not someone who already knows everything — I'm eager to learn and I stay teachable on purpose. I'm the person who reads the error message, checks the source, and ships the honest version: a perfect score is a red flag, and an unverified number never leaves my notebook.