M.Sc. Economics | Machine Learning & Causal Inference

LinkedIn • Portfolio • Email

Data Scientist and Master in Economics with over four years of experience leading strategic machine learning and market intelligence projects. I specialize in bridging the gap between advanced Econometrics and scalable Machine Learning to unlock business value through uncertainty quantification and causal discovery.

Statistical Modeling

Machine Learning

MLOps & Infrastructure

Methods

Tools

Impact: Uncertainty Quantification (94% HDI) for multi-region budget optimization.

Decision-support system estimating channel ROI across 18 territories to maximize advertising efficiency. Delivered as an interactive Budget Optimization Engine (Streamlit) with executive reporting and a reproducible MLflow pipeline. Uses Geometric Adstock and Logistic Saturation to isolate true media effects.

• Stack: PyMC-Marketing ArviZ Streamlit

Impact: +389% Lift in purchase conversion vs. naive baselines.

Large-scale retrieval & ranking funnel serving 1.37M customers. Delivered as a production-grade Two-Stage pipeline with MLOps tracking and visual embeddings (ResNet50), built to handle seasonal catalog rotations and cold-start products.

• Stack: TensorFlow Recommenders CatBoost Optuna

• Master of Science in Economics — UNICAMP (2023)
• Bachelor of Economics — UFRJ (2017)

Publication: Andrade, J. F., et al. (2026). Investment share and economic growth in Latin America. Review of Keynesian Economics.