- ๐ฌ Data Scientist with background in Empirical Microeconomics
- ๐ฅ Specialized in Healthcare & Labor Economics research
- ๐ Passionate about turning data into actionable insights
- ๐ Master degree in Economics with focus on empirical analysis
- ๐ฑ Currently exploring advanced machine learning techniques
- ๐ฅ Healthcare Economics: Cost-effectiveness analysis, treatment outcomes
- ๐ท Labor Economics: Employment dynamics, wage determinants
- ๐ Causal Inference: Natural experiments, instrumental variables
- ๐ค Applied ML: Predictive modeling in economic contexts
- ๐ Policy Analysis: Evidence-based decision making
- Regression Analysis: OLS, Logistic, Poisson, Panel Data
- Causal Inference: IV, RDD, DiD, Matching Methods
- Machine Learning: Random Forest, Gradient Boosting, Ensemble Methods
- Time Series: ARIMA, VAR, Forecasting
- Survey Design: Questionnaire development, sampling
- Data Collection: Web scraping, API integration
- Visualization: ggplot2, matplotlib, seaborn, plotly
- Reproducible Research: Git, Docker, R Markdown, Jupyter