Hello, I'm
“Guided by the belief that, together, we can build better data and AI problem solutions that could enhance people’s lives.”
I'm an Applied Mathematician turned Data Scientist, with a M.Sc. in Data Science from ITAM — the top-ranked Data Science program in México. I specialize in delivering end-to-end data science solutions — from feature engineering and predictive modeling to scalable cloud deployment — translating complex data into actionable strategies that drive measurable business impact.
My work spans credit risk modeling, causal inference, deep learning (LSTM, transformers), classical ML (XGBoost, LightGBM), and data engineering on cloud platforms like AWS and Snowflake. I thrive at the intersection of mathematics, statistics, and business impact.
Experienced in delivering end-to-end data science solutions — from business problem understanding to data engineering, modeling, and scalable deployment — driving strategic decisions and optimizing KPIs across the retail and fintech industries.
End-to-end book recommendation engine using an Actor-Critic agent trained on the GoodBooks-10k dataset. Leverages GRU embeddings and offline RL techniques to optimize long-term user engagement without online exploration.
Fine-tuned a LLaMA model with LoRA and calibrated its behavior using a Reinforcement Learning from Human Feedback (RLHF) agent for deceptive text detection.
I'm always open to discussing new opportunities, interesting projects, or ways we can collaborate on data & AI challenges.