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Behind the tech: Meet Kelvin, our Supply Chain Technology Partner

Kelvin Wan

Supply chain Technology Partner

October 16th, 2022

On its own, technology is nothing without the talented professionals who have dedicated their careers to building expertise so they can help others leverage it to achieve their goals.  

At Antares, we are privileged to have a strong team of such talented professionals with skills ranging from solutions architecture to data science, software development, AI and machine learning, and much more.

In this interview, we go behind the tech to get to know Kelvin – our Principal Consultant of Data Science, based in Sydney.

So Kelvin, what’s your story?

I was born in Hong Kong and moved to Australia when I was young. After high school I studied engineering, IT and business at university before moving back to Hong Kong to further my studies and start my career.

The common thread between all the areas I studied was problem solving – I really enjoy using processes, systems and people to solve business problems. Early on in my career I worked in supply chain; from sourcing and manufacturing, through to planning, logistics and retail. When I look back, data was sitting right in the middle of everything I did because data is at the heart of all business operations.

I ended up transitioning into IT, specifically business intelligence (BI), where I became a developer and implemented BI for a global organisation. I then became a data consultant, working with a business partner who is a Professor of Machine Learning, back when the concept of deep learning was only starting to take shape.

I’d always planned to return to Australia with my family though, and we made the decision to come back in 2020. I had known Johnny at Antares for some time, and they invited me to come on board to lead their data and AI team. I had been a Microsoft Partner as a consultant, and Antares is a Microsoft Gold Partner, so there is a lot of synergy between what I did previously and what I’m doing now.

Because I came from the corporate side initially, I like that I can understand clients’ pain points as I was once a client. I know how important it is to balance the business and IT needs, so I always strive to achieve that outcome.

If you weren’t working in tech, what would you be doing?

Data science is all about finding correlation and causation to make predictions. I’ve developed a theory to help me make investment decisions, so I would probably commercialise that.

What’s the funniest thing that happened to you in lockdown?

There was absolutely nothing funny about lockdowns! I found them quite boring. I did manage to stay fit and healthy though, and now lockdowns are over I’m not so fit and healthy anymore which is funny.

What’s your favourite cuisine?

Japanese food. Japanese food in Hong Kong is like fish and chips in Australia. They have great quality food without costing an arm and a leg, and that’s definitely something I miss.  

If you could go anywhere in the world, where would you go?

I travelled extensively when I worked in Hong Kong so I’ve been all over the world. Recently I travelled to Dubbo and realised that I’ve never explored Australia, so I would like to do that with my family.

What would the ultimate weekend look like to you?

Just a sunny day, spending time with family and friends. Maybe visiting a national park or going for a hike.

What’s something about you that no-one knows?

I was a part time lecturer for 3 years. I don’t talk about it much, but I enjoyed sharing my passion for data and AI with the next generation.

I’m also a volunteer with the CSIRO which has a program to advance STEM learning in schools.  

What’s the best advice you’ve ever been given?

Live life as if tomorrow is your last day, so you won’t have any regrets tomorrow.

What advice would you give to someone looking to start their career in tech?

The traditional route is to study in a tech field and work your way up. But you can actually start from anywhere. I have colleagues who started in business, or sales, or have a PhD in statistics. If you have a passion for tech then you can really start anytime and from anywhere.

Try to look into your heart and see where your passion lies. I’ve been in corporate, tech and everything in between, which is exactly where data science is. Data science requires business know-how, and I love being able to draw on that to help clients optimise their business by finding untapped opportunities through data.

 

 

 

 

 

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