Erick Bautista

I’m a Senior Data Scientist with 5+ years applying data science, statistical analysis, and machine learning to production systems across CPG, beverages, and retail media (Unilever, OXXO/FEMSA). I specialize in causal inference and experimentation—proving true incrementality so business decisions are genuinely data-driven. I move confidently from exploratory data analysis (EDA) and feature engineering to model development and deployment under MLOps, including hands-on GenAI / LLMs in production.

In my most recent role, I built causal-inference frameworks to measure ad campaign incrementality using DID, propensity score matching, bootstrap CIs, placebo tests, and Wald ITT/ToT, then designed and ran structured A/B tests with store/geo-level holdouts and power/sample sizing. I also engineered large-scale PySpark pipelines on Databricks and Snowflake (Delta tables) with versioning, monitoring, and reproducibility, shipping production analytics via Streamlit-in-Snowflake dashboards and an LLM-powered conversational assistant on Snowflake Cortex (with prompt engineering and validation guardrails). Across LATAM at multi-country scale, I’ve delivered outcomes like a 30% reduction in delivery rejections and +$30M MXN impact, and I’m recognized for structured problem solving, technical leadership, and mentoring data scientists to raise team modeling standards.