Andrej Seva

Teaching and Research Assistant

Self Employed • Tiempo completo

Mar 2025 - Present • 1 yr 4 mos

I am a university teaching assistant at the Faculty of Economics, University of Banja Luka, where I teach Financial Mathematics. I hold a Master's degree in Actuarial Science and have hands-on experience in statistical modeling, econometrics, and data analysis using R, Python, Stata, and LaTeX. My academic work includes a published research paper in Mathematics (MDPI, Q1/SCIE, Impact Factor 2.2) on Bayesian and frequentist structural equation modeling applied to shadow economy estimation. I have also co-authored a published study titled "What Moves Health Insurance in Bosnia and Herzegovina? An ARDL Health Insurance Premiums Study", applying autoregressive distributed lag modeling to health insurance premium dynamics. My master's thesis applied ARIMAX, LASSO, XGBoost, LightGBM, and SuperLearner ensemble models to social protection forecasting in Republika Srpska. Beyond these, my research interests extend to LSTM-based anomaly detection in social protection systems, as well as factor-augmented VAR modeling of insurance markets and economic growth in the Western Balkans. I specialize in helping students and researchers with thesis statistical analysis, regression and panel data modeling, time series analysis, data visualization, and interpretation of results. Whether you need OLS, logistic regression, VAR/VECM, ARIMA, or machine learning-based approaches, I can deliver clean, well-documented analysis with clear explanations. What I offer: Statistical analysis for theses and dissertations (Bachelor's, Master's, PhD level) Econometric modeling (panel data, time series, cross-sectional) Data cleaning, processing, and visualization R, Python, Stata, and LaTeX support Clear written interpretation of results