Data & quantitative research
Cleaning complex datasets, estimating models, and explaining uncertainty in finance and business questions.
Python · Econometrics · Time series
Professional
Research skills.
Practical applications.
I bring an engineering approach to empirical problems: structure the data, test the explanation, and make the result usable.
Where I can contribute
Three connected areas.
AI & text analysis
Turning descriptions into transparent signals, and checking those signals against independent evidence.
Text features · Classification · Evaluation
Tools & reproducibility
Building repeatable analytical workflows and interfaces that make a process easier to inspect and use.
Validation · Automation · Product thinking
Selected projects
The work behind the methods.
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 workPython · 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 workExperience
Across research and industry.
Research Assistant · TUM Chair of Entrepreneurial Finance Started Sep 2025 · Munich
- Institutional private-equity research project with an external industry partner, focused on investment-level valuation data and fund-performance analytics.
- Extracted, validated, and standardized confidential deal- and valuation-level PE data; performed time-series modeling across portfolio companies.
- Produced summary documentation and communicated analytical findings to supervisors and industry stakeholders, improving methodological rigor and data transparency.
Research Assistant (Erasmus+) · KU Leuven, Faculty of Economics and Business Aug – Oct 2023 · Leuven, Belgium
- Behavioral and decision-research group: developed a methodology for integrating generative AI into behavioral economics to sharpen the predictive modeling of consumer choices.
- Designed a simulation approach using generative models to create synthetic consumer profiles and test behavioral nudges before deploying them with real participants.
- Built the accompanying ethical framework (informed consent, anonymization, algorithmic-bias mitigation) and a hybrid design that validates synthetic-data findings against traditional lab and field methods.
AI Product Intern · Neural Bridge May – Aug 2023 · Istanbul
- AI product development at an AI consultancy startup: researched, designed, and contributed to deployment of client-specific AI solutions in a cross-functional team.
- Lifecycle work from concept to deployment, keeping solutions aligned with market trends and client requirements.
System & Production Intern · Hugo Boss Jun – Sep 2022 · İzmir
- Ran time studies of production operators; analyzed the data with linear regression and examined variable distributions with t-tests.
- Wrote MATLAB programs computing performance from follow-up outputs and determining inventory and coil requirements.
- Applied fishbone analysis and simulation to production-productivity optimization.
Business Development Intern · YGA HydroSolar Feb – Dec 2021 · Istanbul
- Ten-month role on a floating-solar renewable-energy initiative within Young Guru Academy's technology-for-social-good portfolio.
- Conducted market research on renewable-energy technologies and floating-solar deployments.
- Built the business plan against the company's growth objectives; performed cross-country economic analysis to identify priority expansion markets.
Finance & HR Intern, CEO's Executive Team · Global AI Hub Dec 2020 – Mar 2021 · Istanbul
- Cross-functional role supporting the founding team of an AI-education startup, reporting into the CEO's executive team.
- Ran website UX and engagement analysis in Google Analytics, including backlink analysis, and supported the marketing team's analytics function part-time.
- Assisted Finance and HR with monthly budgeting cycles and recruitment operations.
Industry × academia
A place for a shared research question.
I’m interested in CIFRE collaborations where a company problem can become a rigorous, useful research project.
Discuss a research question ↗Possible starting points
- Evaluating AI narratives and evidence in company information.
- Using text and structured data to study financing or strategic decisions.
- Making analytical results reproducible and easier to audit.
Research directions to scope together; an employer and academic partner would define the project.
Explore the academic side ↗