Curriculum Vitae
Selected education, experience, awards, research, courses, and skills.
Education
Doctoral Programme in Economics
Corvinus University of Budapest — Budapest
Sep 2025 – Jun 2029
MSc in Actuarial and Financial Mathematics
Corvinus University of Budapest, Eötvös Loránd University — Budapest
Sep 2023 – Jun 2025
- GPA: 4.59
- Specialisation in Quantitative Finance
BSc in Mathematics
Eötvös Loránd University — Budapest
Sep 2020 – Jun 2023
- “Outstanding” degree
- Overall GPA: 4.52, scholarship in every semester
- Member of Eötvös Collegium for advanced studies, Economics Workshop
Work Experience
Pricing Intern
Citibank — Budapest
Jun 2024 – Dec 2024
- Market Quantitative Analysis, Credit Team
Data Analyst
Hungarian Central Statistical Office — Budapest
Jul 2025 – Present
Competitions and Awards
Outstanding Student of the Mathematics Institute
ELTE
2024
GEM Mathematics Team Competition, 3rd Place
Corvinus University of Budapest
2023
Research
A New Approach to Measuring Causal Network Connectedness
Presented at the AFML Conference
Ongoing
Directed R² Connectedness Measures
TDK Conference
Ongoing
Stock Price Prediction Methods
Eötvös Conference
Apr 2024
- Comparison of various ML methods on S&P 500 stocks
Extra Courses
Introductory course to DSGE Models in Matlab Dynare
Udemy
2025
Time Series Analysis in Python
DataCamp
2024
Introduction to Portfolio Risk Management in Python
DataCamp
2023
Inference for Linear Regression in R
DataCamp
2024
Skills
Languages
English (C1), German (B1)
Programming
Python (Advanced), R (Intermediate), C++, MATLAB, SQL (Beginner)