The Applied Data Science bootcamp is taught by four of our knowledgeable and skilled Data Scientists. Jef, Daan, Remco, and Tom come from diverse backgrounds and each bring a unique perspective to your learning experience.
Jef van den Buijs
Jef is a Data Scientist that has been working at Bright Cape for two years. Before starting his working career, he conducted research at Bright Cape as part of his master’s thesis. As part of the research, the inspection policy of a production process was optimized using a quality prediction based on a machine learning algorithm. In the last two years, he has been working on different aspects of the data science landscape for a dominant company in the high-tech industry, creating multiple business intelligence dashboards and tools, running a number of process mining projects, setting up data pipelines to automatically retrieve relevant data, and helping on numerous prediction models. Jef’s goal is to use data science knowledge to industrial engineering problems, while always having the focus on the actual added value for the business.
Daan helps companies in their journey to become data-driven and has worked as a Data Scientist & Project Manager at several innovative products. With a background in applied mathematics and an interest in developing practical data science applications, his expertise lies in the machine learning domain and in explaining complex data science concepts in a simple and structured manner. Having broad experience in computer vision, predictive maintenance, logistics, insurance models, and customer due diligence allows him to illustrate this theory using many concrete use cases.
Remco works as a Data Scientist & Project Manager at Bright Cape. With a background in industrial engineering, combined with business information systems, he is especially interested in the practical applicability of data science solutions and the value these bring to organisations. Remco has gained a broad experience in a multitude of data analytics implementations in a variety of industries, from high tech to telecommunications, such as Dashboarding Specialist of a worldwide statistical process control implementation, supporting a process mining rollout, and Project Lead and Product Owner of an innovation project in the area of anomaly detection. The translation from analytics to insights and value for the business is one of the areas in which he excels.
Tom’s focus is on algorithms and data are understandable on everyone’s own level of interest. Within the role of Data Science Consultant at Bright Cape, he strives to implement smart algorithms and visualizations that focus on usability and/or process improvements. With a background in industrial engineering, it makes Tom happy when he can formulate and link the question that we are solving to the broadener organisational strategy. Moreover, he gets enthusiastic if a team successfully identifies and prepares the right (open) data sources in order to build the (ML) application and corresponding visualisations. Tom’s experience mainly originates in logistics, manufacturing, and healthcare, though the lessons and activities related to data-preparation, -analytics , -modelling are in his opinion applicable everywhere.