Oscar Rondon

Personal & career background

1. What first sparked your interest in the mining industry?

My interest in the mining industry was sparked by a career transition after I migrated to Australia in 2005. Prior to that, I had spent over a decade working in the petroleum sector, focusing on geostatistical reservoir characterisation.

That shift from petroleum to mining opened up new dimensions of applied geostatistics for me, and it ultimately shaped the direction of my career ever since.

2. Can you walk us through your career path and how you ended up at Datamine?

After relocating, I joined Snowden Mining Consultants, which marked a significant turning point in my professional journey. It was there that I had the opportunity to apply my geostatistical knowledge to mineral resource estimation. I quickly found the challenges in mining to be intellectually stimulating, highly impactful and incredibly rewarding.

After my time at Snowden, I worked with several mining consultancy firms, broadening my experience across a range of commodities and projects. In 2016, I moved into research by joining CSIRO, where I focused on developing geostatistical methods and tools for the mining sector. While I enjoyed the research environment, after three years I felt the pull of consultancy work again. I rejoined Snowden in 2019 and spent five enriching years working with an exceptional team. Then, in 2024, I took on a new challenge as Principal Geostatistician at Datamine, where I continue to apply geostatistical solutions to support the mining industry.

3. Was there a defining moment that confirmed mining was the right industry for you?

Yes, there was a moment early in my move from petroleum to mining that made it clear I was in the right industry. I saw how the models I worked on were actually being used to make real decisions in mining operations, and that felt incredibly rewarding. It was the first time I saw the direct impact of my work on both day-to-day planning and long-term outcomes.

Your role & expertise

4. What is your area of expertise, and how do you use it in your role at Datamine?

As a skilled geostatistician and researcher with over 18 years of combined experience in the oil & gas and mining industries, my area of expertise lies in resource estimation and the application of advanced geostatistical techniques. In the mining sector, my focus includes multivariate conditional simulation, uniform conditioning, change of support, and non-linear geostatistics across a variety of commodities and mineralisation styles.

At Datamine, I apply this expertise by delivering high-quality consulting services, supporting clients with technically sound solutions, and developing customised geostatistical models tailored to their specific challenges. My strong theoretical background, combined with hands-on consulting experience, also allows me to design and facilitate geostatistical training courses globally, helping clients build internal capability while staying at the forefront of industry practice

5. How would you explain your role to someone unfamiliar with the mining tech space?

At its core, my role as a geostatistician and resource modeller is about helping mining companies make informed decisions based on limited data.

In the mining industry, we rarely have complete information about what lies beneath the surface. We rely on samples from drill holes, which provide only a tiny glimpse into what’s underground. My job is to take those scattered data points and use advanced geostatistical and mathematical techniques to build a model of the in-situ mineral resource.

This process, known as resource estimation, helps answer key questions: How much mineral is there? Where is it located? How confident can we be in those estimates. The models we create are critical for mine planning, financial forecasting, and investment decisions.

6. What do you enjoy most about what you do?

I can work closely with clients, helping them solve complex geostatistical challenges in real-world mining operations. I also get to share knowledge through training, which I find incredibly rewarding, especially when I see concepts click for participants and how it improves their work.

At the same time, I can contribute to the advancement of the field through research and development, and I regularly write articles that explore new ideas and techniques. That blend of practical application, teaching, and innovation keeps me constantly engaged and motivated. It’s a unique balance that allows me to grow professionally while making a meaningful impact across the industry

Challenges, projects & learnings

7. What has been the most challenging project or client engagement you’ve worked on?

One of the most challenging projects involved delivering results under tight deadlines and shifting client priorities. Balancing technical quality with time constraints, while managing stakeholder expectations, pushed the team to stay flexible, focused, and proactive in communication, ultimately leading to a strong outcome and a satisfied client.

8. What’s a professional milestone or achievement you’re especially proud of?

Recently, we assisted a client with generating multivariate conditional simulations for a large orebody as part of a drill hole spacing and risk assessment study. It was a technically challenging project that required careful collaboration and advanced modelling techniques.

This approach enabled the client to quantitatively evaluate the trade-off between economic cost and risk, helping them understand how different drilling grid configurations could affect grade estimation quality and the potential for resource misclassification.

Despite the complexity, the team and I were very pleased with the outcome, not only because of the technical success, but because the results provided clear, actionable insights that directly supported the client’s decision-making.

9. What’s been your biggest learning curve while working in the mining industry?

Early in my career, my focus was heavily academic and technically driven, but I quickly learned that even the most sophisticated models need to be grounded in operational context to truly add value.

Learning to communicate complex concepts in a clear, actionable way for non-specialist stakeholders has also been a key part of that curve. It’s taught me that technical excellence must go hand in hand with clarity, collaboration, and adaptability.

Perspectives & reflections

10. How has the mining industry evolved since you started—and how have you adapted?

I think that early on, much of the work was focused on deterministic models and traditional techniques, with limited computational resources and relatively siloed disciplines. Today, the industry is far more data-driven and collaborative, with a strong focus on automation, digital integration, uncertainty quantification, and social responsibility.

11. What advice would you give to someone just starting out in this field?

Stay curious and keep learning. Build a strong foundation in the fundamentals, but also be open to new technologies and approaches. And most importantly, seek out mentors and real-world experience; that’s where the real learning happens.

12. What keeps you motivated and passionate about your work?

Certainly, the application of mathematical and Geostatistical models to industry problems.

Fun & forward-looking

13. If you weren’t in mining, what career could you see yourself in?

I would have been a fighter pilot! I’ve always been fascinated by fighter jets, they are just incredible to me. If I hadn’t gone down the path of geostatistics and mining. There’s something about the combination of skill, focus, and high-performance machinery that’s always captured my imagination.

14. What’s one myth about mining you’d love to bust?

Many people believe that all mining is inherently destructive, often associating it with large-scale environmental degradation, ecosystem loss, and irreversible damage. While it’s true that mining can have significant environmental impacts if not managed responsibly, this view oversimplifies the reality.

The fact is, almost everything around us relies on mined materials, from the smartphones in our pockets and electric vehicles on our roads, to solar panels, medical equipment, and the very infrastructure of our homes and cities. None of it would exist without the minerals extracted through mining.

What often goes unnoticed is how deeply mining underpins modern life, including the technologies driving the energy transition and digital innovation. The key is to support responsible, sustainable practices that allow us to access the resources we need while minimising environmental and social impact.

15. What excites you most about the future of mining and technology?

What excites me most about the future of mining and technology is how rapidly innovation is transforming the way we understand and manage the subsurface.

Advances in artificial intelligence, data analytics, machine learning, and mathematical modelling are giving us new tools to extract deeper insights from complex data, faster and with greater confidence. We’re moving toward more intelligent, automated, and sustainable decision-making, where uncertainty can be better quantified and risk more effectively managed.

What’s especially exciting is the growing integration of multidisciplinary technologies, combining geology, data science, remote sensing, and simulation to support smarter exploration, more precise resource estimation, and ultimately, more efficient and responsible mining.

As someone who’s passionate about both applied mathematics and innovation, it’s a privilege to be part of this evolving landscape