Roberto Gonzalez Espinosa de los Monteros

I'm a biomedical engineer and data analyst working in clinical logistics, pharmaceutical operations, and predictive analytics. At Parexel International, I use data-driven controls to optimize resource allocation and reduce budget deviations by 20%.

I improve clinical supply planning and distribution decisions, reducing critical inventory shortages and strengthening delivery compliance. Previously at GlaxoSmithKline, I reduced delivery times by 20% and improved stock management by 15% through demand forecasting and medical-supply controls.

I've also supported pharmacovigilance, TMF documentation, regulatory reporting, and data-quality processes. My work contributed to 98% internal-audit compliance, improved report timeliness, and stronger data confidentiality controls.

Through TripleTen projects, I've built machine-learning models for customer churn, gold extraction, and video-game sales analysis using Python, SQL, and Power BI. I achieved an AUC-ROC of 0.8932 in churn detection and translated analysis into actionable retention, efficiency, and market insights.