MSc Economic and Social Sciences Student @ Bocconi | Former Senior Economist @ Latvijas Banka
I am interested in empirical macro-finance and applied macroeconomics, with a focus on monetary policy transmission, banking, forecasting and granular financial data.
- Household Borrowing and Monetary Policy Transmission: Post-Pandemic Insights from Nine European Credit Registers — International Journal of Central Banking (2026), co-author.
- Current research: bank-level heterogeneity in monetary-policy transmission and macroeconomic expectations using US bank data and local projections, in a Bocconi IGIER project with Prof. Filippo De Marco and Nicola Pavoni.
- Macroeconomic forecasting – forecasting of Australian GDP growth using AR, VAR, ARDL, ARMA and ARMAX models.
- State-space modelling – HMMs and dynamic linear models with Kalman filtering/smoothing, spatial covariance modelling and forecasting.
- BSc thesis – large-scale empirical project combining transaction, conflict, news and social-media data with NLP/transformer classification and econometric analysis.
- r.loaders – R utilities for retrieving and caching ECB Data Portal data and connecting programmatically to SQL Server.
- r.autopres – R/Python tools for automating data-driven PowerPoint presentations from existing templates.
- Research: R, Python, SQL, Stata, LaTeX
- Data & development: SQL Server, MongoDB, Git, Docker
- Other: JavaScript/TypeScript