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Pedro Parraguez Ruiz is a distinguished academic and consultant specializing in Operations Research, Data Science, and Business Analytics. Currently an Associate Professor at Adolfo Ibáñez University (UAI) and Director of its Master in Industrial Engineering (MII) & Master in Business Analytics (MBAn) programs, his work focuses on developing and applying advanced quantitative methods, mathematical modeling, and machine learning algorithms to optimize complex systems and improve decision-making in areas such as supply chain management, logistics, healthcare, and resource allocation. He is passionate about bridging the gap between academic research and practical industry applications, often engaging in consultancy to help organizations leverage data for strategic advantage. His research interests include network design, vehicle routing, facility location, and the application of analytics in service operations.
Pedro Parraguez Ruiz's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads and shapes prominent Master's programs (MII & MBAn) at Adolfo Ibáñez University, fostering future leaders and innovators in engineering and data-driven decision making.
Author of numerous influential publications in high-impact academic journals (e.g., European Journal of Operational Research, Computers & Operations Research) and a frequent invited speaker at international conferences, sharing insights on operations research, supply chain optimization, and business analytics.
Provides expert consultancy to diverse organizations, applying sophisticated analytical models to solve real-world operational challenges, enhance strategic outcomes, and improve efficiency in sectors like retail, logistics, and mining.
Successfully secured competitive research funding for projects advancing the frontiers of operations research and analytics, and recognized for contributions to teaching and research within the academic community.
Danmarks Tekniske Universitet - Year 2012
University of Bath - Year 2009
The University of British Columbia - Year 2007
Pontificia Universidad Católica de Chile - Year 2002
Pontificia Universidad Católica de Chile - Year 2001
Scuola Italiana - Year 1990
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Pattrnz is an AI-powered Customer Journey Orchestration platform designed to help businesses understand customer behavior, predict intent, and personalize interactions across all touchpoints. By leveraging AI and machine learning, Pattrnz aims to enable companies to deliver seamless and relevant customer experiences, ultimately driving engagement, loyalty, and growth.
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