Pascal Queeney - Mining Analytics Data Scientist

Pascal Queeney is a Mining Analytics Data Scientist at MTS, where he applies his strong technical expertise and analytical skillset to develop solutions for complex, high-impact challenges across the mining industry. 

In his role, Pascal works at the intersection of data, technology, and operational strategy, transforming large datasets into actionable insights that drive measurable improvements in performance, safety, and efficiency. His work helps enhance Haul Road Explorer with the tools required to support critical decision-making processes and helps mining operations better understand, predict, and optimize their systems.

Holding a master’s degree in Data Science from Lancaster University, Pascal brings a deep understanding of advanced analytics, machine learning, and statistical methods. At MTS, he leverages these skills to develop intelligent models and predictive solutions that support data-driven decisions and operational efficiency. His ability to translate theoretical concepts into practical solutions makes him a valuable contributor to both technical teams and business stakeholders.

Driven by a passion for innovation and tangible real-world impact, Pascal continuously explores emerging tools, methodologies, and best practices in data science and AI. He is motivated by the challenge of applying cutting-edge techniques in demanding industrial contexts, where solutions must be both technically sound and operationally practical. Through his work, Pascal helps MTS remain at the forefront of technological advancement in mining analytics, contributing to safer operations, improved efficiency, and smarter use of data across the industry.