Master's student in Financial Mathematical Analysis at Corvinus University of Budapest. Risk model validator at OTP Group with a passion for spatial econometrics, Bayesian statistics, and network analysis.
Academic research and quantitative projects spanning spatial econometrics, Bayesian statistics, network analysis, and risk modeling.
Spatial panel modelling and autocorrelation analysis examining regional educational convergence patterns.
Student Scientific ConferenceGTFS-based accessibility and robustness analysis of urban transport graph structures.
Hierarchical Dirichlet-based MCMC framework for polling uncertainty estimation.
Time-series validation tool for credit, market, and liquidity risk pipelines.
Risk model validation at Hungary's largest bank, academic research in spatial econometrics and Bayesian methods, and teaching assistant roles in statistics.
Download CVAutomated time series validation, non-credit risk regulation development, credit/market/liquidity model validation.
Economic and Financial Mathematical Analysis, MSc. Courses: Quant Finance, Deep Learning, Econometrics, Time Series, Probability Theory.
Financial planning, organizing competitions & lectures, leading a division of 10-15 people.
Econometrics, Time Series Analysis, Statistics.
II. place — national statistics competition.
Open to research collaborations, quant roles, and interesting conversations about spatial data, Bayesian methods, or risk modeling.