Roy Dabire

AI & Data Science professional translating complex data challenges into production-ready solutions across mining and enterprise operations.

Executive Summary

I am an experienced AI and Data Science professional with hands-on expertise across the entire lifecycle of delivering solutions. My background combines programming, applied statistics, and machine learning with practical deployment experience in production environments.

I have worked on projects spanning generative AI, predictive analytics, and natural language processing, with a focus on turning ideas into systems that are reliable, scalable, and trusted. My experience extends from problem framing and model development through to deployment, automation, and MLOps. I also enjoy teaching and mentoring others, building AI literacy, and helping organisations adopt AI responsibly.

My foundations are in the mining and resources sector, but the principles of my work apply across industries. I bring a blend of technical skill, operational awareness, and leadership capability that enables me to translate AI from experimentation into measurable business outcomes.

Core Focus Areas

  • Generative AI: RAG systems, agentic workflows, conversational AI
  • Full analytics lifecycle: descriptive, diagnostic, predictive, and prescriptive solutions
  • Cloud-based AI/ML platforms within the Azure ecosystem
  • MLOps practices for monitoring, automation, and lifecycle management
  • Responsible AI education to build confidence and safe adoption

Highlights

  • Automated manual workflows with AI, reducing process time by 80%
  • Identified $3M+ in annualised savings via predictive maintenance
  • Enabled large-scale workforce redesign with AI tools impacting 10,000+ employees globally
  • Surfaced safety insights from millions of unstructured logs using NLP
  • Delivered AI training and workshops to build literacy across teams

Professional Experience

Data Scientist, Generative AI — Newmont

2023 – Present

  • Designed and delivered an agentic RAG system that cut investigation workflows by 80%, enabling faster, higher-confidence compliance reviews.
  • Built AI-driven job design tools used to create 3,000+ roles, reducing preparation time from months to weeks and powering workforce mobilisation.
  • Applied advanced NLP to maintenance and shift logs to uncover safety risks and guide targeted interventions.
  • Automated compliance document processing with AI, reducing turnaround time by 95% and freeing specialists for higher-value work.
  • Partnered with cross-functional teams and consultants to deliver automation solutions impacting 10,000+ employees across multiple countries.
  • Helped establish Responsible AI frameworks to ensure safe, fair, and transparent deployment across enterprise initiatives.
  • Facilitated global workshops on RAG, agentic AI, and Responsible AI while mentoring early-career data scientists and leading distributed contributors.

Data Scientist, Digital — Newcrest (acquired by Newmont)

2022 – 2023

  • Developed predictive maintenance models that identified $3M+ in cost savings by optimising schedules and extending asset uptime.
  • Created a Theory of Constraints diagnostic dashboard highlighting bottlenecks and supporting operational resource reallocation.
  • Performed statistical analysis on safety data to surface leading indicators that influenced risk mitigation strategies.

Data Science Intern, Resource Estimation — Fortescue

2021

  • Recovered multi-million-dollar geophysical data sets using statistical techniques in Python, improving downstream analytics.
  • Developed Tableau monitoring dashboards to support geophysics workflows and visibility.
  • Produced QA/QC reporting that increased confidence in geophysical datasets for decision-makers.

Junior Data Scientist — CAPS Australia

2021

  • Built predictive models and KPI forecasts informing CEO-level strategic planning and investment decisions.
  • Designed and deployed PowerApps solutions that improved workforce management for 170+ staff nationwide.
  • Automated reporting workflows, saving up to one hour per coordinator per day while improving data accuracy.

Education

Bachelor of Advanced Science (Data Science) — Curtin University, Western Australia

Professional Development

  • Metcelerate Program (2023) — advanced program for resources professionals combining geoscience, mining engineering, and data-driven problem solving.
  • DeepLearning.AI — Multi AI Agent Systems with CrewAI
  • DeepLearning.AI — Intro to Federated Learning
  • Udemy — ML in Production: From Data Scientist to ML Engineer
  • Microsoft Certified: Azure AI Engineer Associate (in progress)