Summary
David Drumond is a mining engineer with 10 years of experience combining advanced geoestatistics, geometallurgy and practical mine planning to evaluate and optimize mineral deposits across commodities like gold, iron and manganese. He holds a doctorate in Geoestatistics and Geometallurgy and has delivered NI 43-101/JORC technical reports, short- and long-term estimations, mine sequencing and cut-off/NSR optimisation for open pits. David couples domain expertise with software and coding skills—Python, C++, Qt, VBA and Git—having developed QA/QC tools, automation routines and machine-learning models that predicted plant gold recovery with >90% accuracy and enabled ore-sorting optimisation. His background spans lab rock mechanics testing, field mapping and logistics, giving him a rare end-to-end view from sample to ROM to processing. Comfortable in consultancy, research and operations, he has led university workshops and taught mining courses, bridging academic methods and pragmatic industry solutions. Based in Minas Gerais, Brazil, he is actively transitioning more of his career toward developer-centric roles that apply his algorithmic experience to mining problems.
10 years of coding experience
Bacharelado, Engenharia de Minas, Bacharelado, Engenharia de Minas at Universidade Federal de Minas Gerais
Doutorado, Mineração e Engenharia de Minas - Geoestatística e Geometalurgia, Doutorado, Mineração e Engenharia de Minas - Geoestatística e Geometalurgia at Universidade Federal do Rio Grande do Sul
Pós-graduação Lato Sensu - Especialização, Sistemas Mínero Metalúrgicos em Minério de Ferro, Pós-graduação Lato Sensu - Especialização, Sistemas Mínero Metalúrgicos em Minério de Ferro at Universidade Federal de Ouro Preto
Portuguese, English