‘Predicting the Future’ with Data Science Trainee Erik
Hello, I’m Erik! I work at Centraal Boekhuis (CB) as a member of a data science team working towards predicting the future. I focus on Natural Language Processing and making data-driven predictions on a product’s pre-destined performance in the market. When I am not predicting the future, I am growing it: cultivating oyster mushrooms from coffee grounds at my urban farm, Fungi Factory.
Getting Answers From Data
My studies specialized in sustainable business models and innovation, and I was approached by Aurai in the finale stage of my master’s programme. I finished my Master’s degree at KLM, where we analyzed total ticket sales. I found that playing with large amounts of data, getting them to answer the right questions, was fun and interesting, so from there I took the course Data Learning.
I came to Aurai with a keen interest in data, I was considering a traineeship and I was sold after I considering the benefits of joining a start-up with young energetic talent. I learned a lot from the training courses. The sessions were a great introduction to machine learning and helped me gain extensive insight into the various machine learning tools and processes. In addition, I learned a lot about dealing with and tackling specific problems that can arise during a project.
Assignments With Partners
I was a little nervous for my interview at CB, but I was pleasantly surprised by how smoothly the conversation went. I started at CB in a data science team where we were given a lot of freedom and space to discover what we could do for certain CB data. Our first assignment gave us three months to demonstrate what we could do with the data. We have already accomplished various assignments as a team. One example had us building a keyword generator that could automatically identify keywords to describe the book mined from its digital content.
The Value of Aurai’s Training
I can say with certainty that I have developed my analytical skills during my time with Aurai; I now have better insight into defining value and letting the rest go. I am not afraid of making mistakes, in fact, it is better to make mistakes, and as soon as possible, because I then learn from those mistakes sooner. It was an exploration of trial and error, by trying as much as possible I learned a lot more than I would have otherwise and could take big steps quickly.
Become a Successful Data Scientist
The first step to becoming a successful data scientist is to have an affinity for data and numbers, if not, it might not be your gig. You have to like trying new things, getting into an adventure every time, with an attitude like ‘I’ve never done anything like this before, let me give it a try’. You have to feel an unceasing gluttony for new things and energized from embracing the most recent developments.
As Aurai keeps re-inventing themselves, the training sessions get better with every class. This is essential for an organization to keep up with the times, especially in the field of data science.
Interested in our Data Engineering traineeship? Sign up here!