I am currently enjoying my work as a machine learning engineer at Vantage AI. My (academic) career started as a bachelor student Communication- and Information Science at the Utrecht University. During the second year of the bachelor I followed the digital communications track which included the ‘Digital Data Analysis’ course. After this course it became clear to me: I want to become a data scientist. Having the possibility to work in different domains while still having an expertise was what spoke to me the most. I completed the minor information sciences where I learned to program (C# and R) and perform data analysis. At the same time I increased my data skills at the Utrecht Data School by leading a team and working for Radiuz by developing a dashboard for their company. My bachelor thesis was data related as well by writing about bias in training datasets for facial recognition based on the phenotypes of the persons in the pictures (grade: 8.5). After completing my bachelor’s I went to do the Data Science and Society master (MSc) at the Tilburg University. Here, I primarily focused on (advanced) programming in Python, machine learning and deep learning. I applied that expertise with great fun during my thesis by using deep learning and machine learning techniques to quantify features of cells (imaged by phase contrast microscopes) at Mimetas (grade: 8). KEYWORDS: Data Science, Data Engineering, Consultancy, Machine Learning, Deep Learning, Healthcare, Dashboard Development, Corporate Social Responsibility