Jorge Acuña Vallejos

I've built ML-driven anomaly detection, ETL/ELT pipelines, and executive Power BI reporting at Procure, turning multi-source corporate data into governed, automated systems. My anomaly detection model flagged performance deviations up to four hours in advance, supporting proactive maintenance and reducing unplanned downtime.

I owned data architecture across Firebase and BigQuery, established schema standards and data-quality checks, and automated reporting workflows that cut processing time by 50%. I also led Agile teams as Scrum Master to launch a digital project management web application and trained stakeholders to use BI tools and understand their underlying data.

My recent projects include a Snowflake pharmaceutical warehouse with XGBoost demand forecasting and Power BI reporting, plus an airline operations product that forecasts delays and optimizes crew reassignment with PuLP. I've also delivered cloud marketing analytics in BigQuery and Looker Studio, and a PostgreSQL/Tableau solar-energy decision tool powered by NASA data.

Before focusing on data, I applied engineering and statistical analysis to digital-twin, pump-performance, and operational-project work. I bring a mechanical engineering foundation, product ownership experience, and a practical focus on converting complex data into decisions.