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Interview with Nina van Rooyen

Nina van Rooyen

Nina van Rooyen

Project Engineer
What do you do for Pragma?
Nina van Rooyen

I am currently working on an AIV project with a manufacturing company and filling in for another colleague at a major oil and gas company.

I am in the projects team, which means that I do a lot of implementation related work for our clients. On average our projects last between three and six months. Every day is different, which makes it exciting. My experience thus far includes, asset identification and verification, Facilities Management, optimising invoicing processes, Asset Management Improvement Planning and developing a standards manual.

What degree do you hold?

I have a Master’s degree in Industrial Engineering.

Achievements / Accolades

Graduating my master’s cum laude and being invited to present my thesis at the annual SAIIE conference. Also, being voted Top Student at the Pragma STP in 2014.

Why did you choose engineering as a career?

I enjoy problem-solving, especially if it makes life more enjoyable and systems more effective for others.

Please share something personal with us. I.e. what are your hobbies?

My hobbies include dancing (I love it). I love my family and friends so I spend most of my free time with them. I also enjoy reading, painting and listening to classical music. Bit of an old soul, I guess.

Tell us about the highlight of your career at Pragma.

Figuring out how to deal with and complete overwhelming projects, Boot Camp and attending mentor sessions with the wise elders at Pragma.

Any advice for young engineers?

Stay positive, don’t give up quickly, follow your instinct, always act with integrity and fix your mind on working hard and learning as much as you can.

How do you think technologies such as IIoT and machine learning will influence your world going forward?

IoT and machine learning are both very powerful, and in the future, it will help us manage assets more intelligently. But before that, there are still a lot of systems, which IoT and machine learning will form part of, that must be managed effectively. Technology is one element that forms part of a bigger system and is not the answer to all challenges. Things such as communication, change management, teamwork and engagement should be in place for IIoT to live up to its potential.

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