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Dear network, I share with you a document that summarizes an exercise of Machine Learning developed in the Collahuasi Concentrator Plant in Chile; I hope it makes sense to you. I would be very grateful for your comments and feedback. Greetings

Machine Learning Exercise Predictive Thickener Interface Loss Model.pdf

https://www.linkedin.com/posts/ignacio-flores-vald%C3%A9s-5953654a_predictive-thickener-interface-loss-model-activity-6583183639171915776-bUv1

 

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Commercial Engineer from Universidad de Valparaíso, MBA Pontificia Universidad Católica de Chile and Master of Industrial Engineering from Universidad Adolfo Ibáñez, with extensive experience in business management, consulting, banking and mining. He holds executive positions in strategic management areas at Minera Collahuasi, Codelco Ministro Hales and Minera Los Pelambres. Among his achievements in Collahuasi are: Leading strategic initiatives to stabilize and optimize the Company's operations in terms of risk, productivity, cost management, data analytics and machine learning; in Codelco he designed planning and management systems for a new division, leading the reformulation of the MH Project; in MLP highlighted the Design and execution of its processes of planning and deployment of strategy, Design and implementation of the company's internal governance and Hall of Fame Recognition of Balanced Scorecard Collaboratives

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