Economist (University of Buenos Aires). Portfolio Financial Advisor at EY, building risk reporting with statistical models, revenue and variance analysis, and process automation. Currently studying Actuarial Science at UBA.
Economista (UBA) — analizando riesgo, datos y mercados desde Buenos Aires.
Machine learning (current focus): Tuning gradient boosting, neural network, and k-nearest neighbors models for risk detection on US-based project work — including backend and frontend implementation and a weekly automated data refresh pipeline.
| Project | Description |
|---|---|
| Tesina-de-grado | Undergraduate thesis: fundamental analysis and Markowitz portfolio optimization |
| Real-Estate-Buenos-Aires | Buenos Aires real estate market analysis with neural networks |
| ETFs | ETF growth dynamics and cross-market correlations |
| modelo_predictivo_tarjeta_credito | Machine learning model for credit card approval |
Applied ML in production-style setups: model tuning (gradient boosting, neural nets, k-NN), full-stack delivery, and recurring data pipelines — aligned with the risk-detection work described above.
- Risk reporting, statistical modeling, and automation at EY
- Actuarial Science (UBA)
- Machine learning: Gradient boosting, neural networks, and k-nearest neighbors for risk detection on US-based projects — backend and frontend implementation plus a weekly data refresh pipeline
- Side projects in finance, real estate analytics, and applied ML