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.
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2024 – 2026
M.Sc. Management & Technology, Technical University of Munich: Finance & Accounting · Computer Engineering. Grade 1.2.
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2025 – 2026
QTEM Masters Network: quantitative exchange at Université Paris-Dauphine PSL, Paris.
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2019 – 2024
B.Sc. Industrial Engineering & B.A. Economics (double degree), Sabancı University, with minors in Business Analytics, Entrepreneurship, Decision & Behavior.
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2023
Research stay, KU Leuven (Erasmus+).
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2022
Global exchange, HKUST, Hong Kong (scholarship).
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2018 – 2019
Preparatory year: independent study in mathematics, programming, and languages; international travel.
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2017
Summer program, University of Colorado Boulder.
Selected recognition
An early grounding in research.
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2017
★Bronze Medal, Mathematics
23rd International Conference of Young Scientists, an international jury of researchers.
ICYS · Romania
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2017
★1st place Aegean Region, 4th nationally
Secondary School Research Project Contest, Mathematics, judged by Turkey's national science agency.
TÜBİTAK · Turkey
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2017
★1st place, Gold Medal, Project Category
Project and Material Olympiad in Mathematics.
MATDER · Turkey
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2017
★Mu Alpha Theta Honor Society Award
For the most challenging, original, and creative investigation of a problem involving mathematics.
Mu Alpha Theta
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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 ↗
Climate Change and Sustainable Investing
EDHEC Business School · 2026
Verify specialization ↗
Global Financing Solutions
EDHEC Business School & Société Générale · 2026
Verify course ↗
Beyond the analysis
Service, languages & interests.
Service & volunteering
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2025 →
EuroTeQ Network: ESN Representative at TUM, supporting students on cross-campus initiatives across the European technical-university alliance.
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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.
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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.
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2019 – 2020
Civic Involvement Projects: taught personal development and confidence to high-school students.
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2017 – 2018
TEGV: taught coding fundamentals with Scratch to primary-school children.
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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.