AI · Entrepreneurial finance
When the AI label meets the evidence
A thesis on what startup narratives reveal, what investors price, and how ventures progress.
Explore the workAI · Finance · Quantitative research
AI & finance.
Rigorous research.
Useful decisions.
I’m Eralp. I connect empirical research with practical tools, using text analysis, econometrics, and software to make complex problems easier to understand.
Open to industry roles and CIFRE research collaborations in France.
Professional
Applied projects, methods, experience, and where I could contribute.
For researchers & supervisorsAcademic
Thesis, research papers, methods, and opportunities for collaboration.
Selected work
From a question to something concrete.
Python · Research engineering
An analysis that checks its own reporting
A configurable pipeline with sample reconciliation and numerical checks between results and prose.
Explore the workProduct · Engineering capstone
A platform for learning entrepreneurship
An interactive learning framework that connects design thinking, activities, and reflection.
Explore the workA connected background
Engineering habits. Economic questions.
My background combines industrial engineering and economics at Sabancı with Management & Technology at TUM, the QTEM network, and research at KU Leuven.
I’m especially interested in how organizations distinguish a persuasive story from useful information, and how careful analysis can improve a real decision.
More about my background ↗Between research & practice
One question, two ways to explore it.
Research note · 4 min read
What “quiet AI” reveals about startup signals
A plain-language introduction to the thesis and the distinction between claiming AI and operating in it.