About

A quantitative background.
A habit of building.

My work connects engineering, economics, and empirical research, with a particular interest in how people and organizations interpret signals.

Background

From mathematics to empirical questions.

I grew up in İzmir doing competitive mathematics. That developed into a two-year tilings research project and an international science competition.

I later studied industrial engineering and economics at Sabancı University, with minors in business analytics, entrepreneurship, and decision & behavior. Management & Technology at TUM and the QTEM network brought those interests closer to finance and computing.

Research at KU Leuven, industry experience, and my thesis have kept the same question in view: what can we learn from a signal, and how do we check that interpretation?

Education & research

The academic foundation.

  • 2024 – 2026 M.Sc. Management & Technology, Technical University of Munich: Finance & Accounting · Computer Engineering. Grade 1.2.
  • 2025 – 2026 QTEM Masters Network: quantitative exchange at Université Paris-Dauphine PSL, Paris.
  • 2019 – 2024 B.Sc. Industrial Engineering & B.A. Economics (double degree), Sabancı University, with minors in Business Analytics, Entrepreneurship, Decision & Behavior.
  • 2023 Research stay, KU Leuven (Erasmus+).
  • 2022 Global exchange, HKUST, Hong Kong (scholarship).
  • 2018 – 2019 Preparatory year: independent study in mathematics, programming, and languages; international travel.
  • 2017 Summer program, University of Colorado Boulder.

Selected recognition

An early grounding in research.

  • 2017 ★Bronze Medal, Mathematics 23rd International Conference of Young Scientists, an international jury of researchers. ICYS · Romania
  • 2017 ★1st place Aegean Region, 4th nationally Secondary School Research Project Contest, Mathematics, judged by Turkey's national science agency. TÜBİTAK · Turkey
  • 2017 ★1st place, Gold Medal, Project Category Project and Material Olympiad in Mathematics. MATDER · Turkey
  • 2017 ★Mu Alpha Theta Honor Society Award For the most challenging, original, and creative investigation of a problem involving mathematics. Mu Alpha Theta
  • 2018 ★Valedictorian, rank 1 Graduated first in class with a GPA of 98.8 out of 100. MEV Science High School · İzmir

Continuing learning

Selected credentials with verification links.

Investment Management with Python and Machine Learning

EDHEC Business School & Princeton University · 2026

Verify specialization ↗

Global Financing Solutions

EDHEC Business School & Société Générale · 2026

Verify course ↗

Beyond the analysis

Service, languages & interests.

Service & volunteering

  • 2025 → EuroTeQ Network: ESN Representative at TUM, supporting students on cross-campus initiatives across the European technical-university alliance.
  • 2020 – 2022 Young Guru Academy: technology-for-social-good volunteering with accessible technology for people with disabilities, environmental sustainability projects, and mentorship for underprivileged youth.
  • 2019 – 2021 Sabancı Economy & Business Club: board member; organized the Finance Summit (VC track) and the Business Analytics Summit, and led the PR & Marketing department.
  • 2019 – 2020 Civic Involvement Projects: taught personal development and confidence to high-school students.
  • 2017 – 2018 TEGV: taught coding fundamentals with Scratch to primary-school children.
  • 2016 – 2018 MEV Social Impact Club: fundraised a medical device for children in cancer treatment at Behçet Uz Hospital; clothing drives and Turkish Red Crescent events.

Languages

Turkish (native), English (C1–C2), French (learning), and German (A1), as listed in the supplied CV.

Outside work

Cinema, literature, board games, table tennis, football, video editing, and event planning.

En français

Je m’intéresse aux liens entre intelligence artificielle, finance et recherche empirique. Je suis ouvert aux échanges avec des entreprises et des laboratoires en France, notamment autour d’un projet CIFRE.