“It’s important to support each other because a reliable network can be a big help.”
What does your day-to-day work look like?
In consulting projects, my data science team and I are responsible for everything that’s data-driven and involves large or complex data sets. For instance, that could mean we develop algorithms, or we use machine learning to predict certain results. The biggest challenge is bridging the gap between mathematical theory and real-world business practices. For that, you have to understand the supply chain processes behind the data. Ultimately, our aim is to develop individual solutions for our customers to meet their specific business needs.
Do you have any tips for other young women who want to pursue a technical career like yours?
I’ve found it’s important not to change who you are to meet other people’s expectations. Even if you’re frequently outnumbered as a woman, don’t let that intimidate you. In fact, it can be really helpful if someone can contribute a fresh perspective. As a student, I didn’t have any female professors – I would have appreciated more female role models. But I realized I’d just have to prove to myself that I could succeed. It’s also important to support each other because a reliable network can be a big help. Now I have several younger female colleagues, and I’m really happy that they turn to me for advice.