CV
Education
- M.A. in Economic Research, CERGE-EI, Prague — 09/2025 – present
- Relevant coursework: Applied Macroeconomics, Applied Microeconomics, Statistics
- B.Sc. in Economics, University of Economics in Prague (VŠE), Faculty of Economics — 09/2022 – 06/2025
- Relevant coursework: Intermediate Micro/Macro, Econometrics (R), Advanced Macroeconomics (MA level), Applied Quantitative Methods (R/EViews/Python), Labor Economics, Game Theory
Work experience
- Research Assistant — Charles University, Prague (02/2026 – present)
- For Stephanie Ettmeier, on the project Distributional Effects of Macroeconomic Shocks on Expectations.
- Conduct large-scale data analysis in Python: cleaning, preprocessing, and exploratory analysis of complex datasets.
- Develop reproducible workflows and scripts for high-dimensional data, generating reliable empirical outputs for ongoing academic research.
- Communicate research progress and empirical results with the research team on an almost daily basis.
- Translate technical findings into clear explanations for both technical and non-technical audiences, and prepare structured summaries that support collaborative decision-making.
- Manager Analyst Intern — Deloitte, Audit, Prague (09/2023 – 06/2025)
- Data analysis of client financial datasets using internal tools and Excel.
- Daily communication and reporting with international clients in English.
- Worked under tight deadlines in a high-pressure environment.
Research projects
- Monetary Policy of the European Central Bank: A BVAR Approach — with Ing. Mgr. Tomáš Pokorný, PhD. (Czech National Bank)
- Estimated Bayesian VARs with Minnesota priors for ECB monetary transmission.
- Constructed impulse response functions, FEVDs, and robustness checks.
- Data handling and estimation in R and MATLAB.
- Work division and communication in a research environment.
Skills
- Languages: English (C1), Czech (native)
- Programming: Python (data manipulation, econometrics), R (econometrics), MATLAB (econometrics), LaTeX
- Econometrics: OLS, time-series analysis, VAR/BVAR, panel data analysis
- Software: Visual Studio Code, Microsoft Office Suite, EViews