
Callum Thomson
@callumthomson
I build data science solutions that improve mining operations and deliver measurable value.
What I'm looking for
At Minopex, I've progressed from Graduate Metallurgist to Data Scientist, completing my graduate programme seven months early. I build monitoring and predictive machine learning solutions across mining and minerals operations.
I've developed a PID control stability monitoring solution for 600+ controllers across four sites, delivering R35 million in validated revenue impact, saving 1,900+ technician hours, and improving control stability by 5.4%. I also led a GenAI deployment that automates daily report analysis at two sites and saves more than three hours each day.
I'm completing an MEng in Chemical Engineering (Data Analytics) at Stellenbosch University, applying machine learning to industrial process optimisation. I bring hands-on experience across 10+ operational sites and 7+ commodities, backed by Python, SQL, process knowledge, and a commitment to getting difficult work done.
Experience
Work history, roles, and key accomplishments
Data Scientist
Minopex
Sep 2024 - Present (2 years)
Promoted to Data Scientist after completing graduate program early. Developed and enhanced a control monitoring solution deployed across several sites, contributing over R35 million in validated value.
Graduate Data Scientist
Minopex
Jan 2023 - Sep 2024 (1 year 8 months)
Developed a control monitoring solution from inception to client implementation. Worked on performance monitoring models and applied predictive machine learning models.
Graduate Metallurgist
Minopex
Dec 2022 - Mar 2023 (3 months)
Worked as a Graduate Metallurgist at an iron ore DMS plant in Postmasburg, Northern Cape.
Engineering Intern
Minopex
Jan 2022 - Dec 2022 (11 months)
Served as an Engineering Intern at the Kroondal mineral processing plants for six weeks, focusing on the flotation plant and various analytical tasks.
Engineering Intern
Afrigrit (PTY) LTD
Jan 2021 - Dec 2021 (11 months)
Worked as an Engineering Intern focusing on the overall mineral separation process and plant optimization. Acquired experience with triple pass dryers, ball mills, industrial screens, and sandblasting equipment.
Education
Degrees, certifications, and relevant coursework
University of Stellenbosch
MEng (Structured), Chemical Engineering (Data Analytics)
2024 -
Enrolled in the MEng (Structured) Chemical Engineering (Data Analytics) program, focusing on applying data science and machine learning to enhance industrial processes.
Stanford University
Machine Learning Specialization, Machine Learning
Completed the Machine Learning Specialization by DeepLearning.AI and Stanford University on Coursera, covering supervised learning, advanced learning algorithms, neural networks, unsupervised learning, recommender systems, and reinforcement learning.
Stone Three
Data Analysis for Process Engineers, Data Analysis for Process Engineers
Grade: 100%
Completed the Data Analysis for Process Engineers course from Stone Three, presented by Lidia Auret, achieving an assessment mark of 100%.
University of Pretoria
BEng, Chemical Engineering
2019 - 2022
Grade: 73.88%
Completed BEng Chemical Engineering at the University of Pretoria with a final combined GPA of 73.88%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
stonethree.comSalary expectations
Skills
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