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Wilson
Contacto
Competencias
Experiencia demostrada en Python.
Experiencia demostrada en SQL.
Experiencia demostrada en Bash/Terminal.
Experiencia demostrada en Git.
Experiencia demostrada en GitHub.
Educacion
Idiomas
Resumen
Perfil profesional
Experiencia
Game Mathematician
Designed and validated quantitative performance metrics under uncertainty, using simulation, statistical testing and reproducible Python workflows to support decision-making.. Built large-scale Monte Carlo tools to estimate distributions, variance, tail risk and performance stability across thousands of simulated scenarios.. Developed regime-switching volatility models with Hidden Markov Models and variance-decomposition frameworks to explain performance beyond static IID assumptions.. Implemented validation batteries and visual diagnostics to audit critical variables, detect inconsistencies and communicate statistical risk.
PhD Researcher — Stochastic Modeling & Machine Learning
Developed predictive pipelines and scenario-analysis tools in Python for complex spatiotemporal systems using real-world Argentine Ministry of Health data.. Applied Bayesian estimation and rolling-window optimization to calibrate models under uncertainty and improve fit versus static baselines.. Reduced simulation costs by 25% through optimized numerical algorithms and more efficient parameterization of repeated scenarios.. Communicated model assumptions, uncertainty, validation results and limitations through research papers, presentations and interdisciplinary work.
Professor — Probability & Statistics for AI
Designed and delivered university-level lectures and practical workshops on probability, statistics and their application to artificial intelligence.. Prepared educational material, problem sets and assessments focused on inference, uncertainty and quantitative modeling.
Administrative Research Assistant
Built a Random Forest demand-forecasting model for passenger ticket sales, increasing forecast accuracy by 30% through improved planning and allocation.. Translated operational data into forecasts for capacity allocation and commercial decision-making.