Moe Amanzadeh
Lead Data Scientist
Brisbane City, Queensland, Australia
Summary
👤
Senior🎓
Top SchoolMoe Amanzadeh is a Lead Data Scientist with over a decade of hands-on and leadership experience delivering AI, machine vision and robotic solutions across mining, aerospace, health and energy sectors. He builds high-performing analytics teams and bridges strategy, engineering and operations to drive measurable safety, productivity and predictive-maintenance outcomes using distributed sensing and real-time industrial data. At Anglo American he leads cross-functional data science, engineering and visualization initiatives that translate thousands of sensor streams into operational KPIs and production-grade ML tools. His PhD-level background in mechanical and mining engineering and track record introducing distributed fibre sensing for commercial predictive maintenance set him apart in industrial AI. Known for combining product-minded delivery with deep technical skills (Python, ML/DL, simulation, OSI PI/Azure), he also teaches machine learning as an adjunct professor. Colleagues note his strengths in communication, ideation and strategic focus—skills he leverages to turn advanced research into deployed, revenue-generating technology.
8 years of coding experience
12 years of employment as a software developer
Visiting researcher, Visiting researcher at Shandong University of Science and Technologyvisiting research fellow, visiting research fellow at Max Planck SocietyElectrical and Electronics Engineering, Electrical and Electronics Engineering at UATVisiting Scholar, Visiting Scholar at San Jose State University- CaliforniaMaster of Engineering (M.Eng.), Master of Engineering (M.Eng.) at The University of Queensland
Github Skills (2)
machine-learning1
classification1
Programming languages (2)
Github contributions (5)
moe-ai/Uphole-Drilling
Dec 2017 - Jun 2020
Contributions:12 commits, 11 pushes, 1 branch in 2 years 6 months
moe-ai/SBU_ML_CYBER
Nov 2020 - Feb 2021
Contributions:37 commits, 39 pushes, 1 branch in 3 months
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