Daan Nijssen

• Creative, brings new solutions and insights in the field of Data Analytics
• Has knowledge of the insurance domain and (online) marketing
• Studied Econometrics at Maastricht University
• Worked for several years as a Data Scientist at an online marketing agency
• Completed projects in the non-life sector, both in pricing and reporting

Variety
The best part about working at Triple A is the variety in assignments and tasks. One day you’re programming behind your laptop all day, the next you’re presenting results to the client or contributing at a strategic level. No day is the same, and that’s very important to me.

Learning Curve
Every client situation is unique. Sometimes you need to quickly get up to speed with the client’s context, which involves a steep learning curve. You have to learn fast and continue developing yourself. Personally, I really enjoy that. And of course, you can rely on your colleagues if you get stuck. Together, we always ensure a great result.

Real Impact
We place a strong emphasis on collaboration with the client. We don’t just deliver a report or a slide deck—we make sure the results are implemented in the business. That makes my work extra challenging, because you actually get to see the impact.

Work Hard, Have Fun
Great colleagues and an informal atmosphere are very important to me. That’s the kind of environment I prefer to work in. We work hard, but this is regularly balanced with fun events. The annual ski trip is one of the highlights.

Business Comes First
In my field, Data & AI, training the model is not the most important part. Cleaning and processing the data often takes more time. My work is about domain knowledge and implementation in the business. In practice, this is still often seen as secondary. If you build a model but the insights or outcomes aren’t usable, then it’s worthless.

That’s why our approach is to do the project together with the client and to clearly understand their perspective. With small use cases and an iterative approach, we help the client become more data-driven step by step. This can involve unlocking and enriching data with external sources, visualizing it effectively, or using an advanced model to predict fraud or cancellations—and everything in between.

Muay Thai
I enjoy practicing various sports—football, tennis, fitness—and last year I started Muay Thai. Just like in my work, I enjoy learning new things and gaining new experiences in my personal life. That’s why I also love traveling, good food, and regularly going to festivals.