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Data Scientist and Ph.D. Candidate in Statistics & Data Science with experience in statistical modeling, machine learning, time-series forecasting, quantitative research, software development, and applied AI.
I build reproducible analytical workflows from data preparation and feature engineering to modeling, validation, evaluation, and technical delivery.
Production-stable Python package for non-stationary extreme-value inference.
Python · Statistical Inference · Monte Carlo · Extreme Value Theory
Climate-informed commodity forecasting with walk-forward validation, Bayesian modeling, and cost-aware backtesting.
XGBoost · LightGBM · PyMC · Time Series
Spanish domain LLM pipeline with QLoRA fine-tuning and RAG on PostgreSQL + pgvector.
PyTorch · Hugging Face · QLoRA · RAG
Tested, reproducible churn pipeline (logistic regression vs XGBoost, SHAP explanations).
scikit-learn · XGBoost · SHAP · pytest
Reproducible pipeline and interactive dashboard for urban mobility analysis in Mexico City from open data.
Python · CatBoost · Open Data
Data Science · Research Data Science · Applied Scientist · Machine Learning · Statistical Modeling · Time Series & Forecasting
