2023

Daniel Rozo is a Senior Solutions Architect with Amazon Web Services (AWS) supporting customers across the Benelux. He is devoted to working with customers and engineering simple data and analytics solutions on AWS. He is passionate about using cloud technology to enable customers implement Modern Data Architectures.

Curious by nature, inspired by great people and addicted to innovation and lateral thinking, Luis Campos is a Business Developer Lead for the EMEA market at AWS for Data, Analytics & AIML. While defining the go-to market strategy for AWS Data solutions, he’s involved in initiatives in the space of Data Lakes, IoT, AI/ML, Big Data & Data Warehouse being fluent in the overall digital transformation processes fueled by cloud-based data & AI solutions.
Prior joining AWS, Luis lead cloud data platform business development at Oracle for EMEA. He holds a Computer Engineering Master’s degree from Minho University and an MBA from Nova University (Lisbon).
Luis is based in the Netherlands, and has two boys with 18 years apart, which has taught him to see problems from both ends of a spectrum.

Dirk Guijt has 9 years of experience in the data domain and has really blossomed in the floricultural world that is Royal FloraHolland. He worked on all kind of data projects like image quality assessments, logistical optimizations, and various data driven applications on RFH’s digital platforms. But he also ventures to other types of work, like building a “street view”-like trailer which can be driven around and automatically take high-res photographs of the plants and flowers in RFH’s cooling zones. Now he’s on his latest adventure in the new logistical world that RFH is building. Who knows what he comes up with next…

Usman is a Machine Learning Engineer at Xebia Data. He has a BSc in Physics from Imperial College London and a MSc in Data Science from the University of Edinburgh. He has worked at a professional services company where he developed data solutions for a global userbase and at a startup in the automotive industry where he both developed and implemented data science solutions. He has also worked within the Insect Robotics research group at the University of Edinburgh where he specialised in computational neuroscience and was able to combine his theoretical knowledge and software engineering skills to perform complex simulations of biological processes in the brain.

James is working with Xebia Data Academy to deliver Data Science courses on topics such as Data Analysis and Deep Learning. An experienced educator, James has taught across the globe: from East London to China. He enjoys planning creative and engaging lessons, which are structured such that all learners feel challenged. 

James holds a Master’s degree in Artificial Intelligence from the University of Amsterdam (Cum Laude); a Master’s in Educational Leadership from UCL (Merit); and a Bachelor’s degree in Mathematics from the University of Manchester (First Class Honours).

Juan graduated as the best physics student in Spain in 2009. Struggling to choose between a Ph.D. in
computational physics at Edinburgh University and a Master’s in filmmaking, he did both. He then went off to win multiple awards in both fields and combined all his skills in data teaching, particularly in Data Storytelling. He is the perfect combination of knowledge, storytelling and lame jokes. Isn’t that Juanderful?

Maurice Veltman is a data professional with a passion for turning data into insights. With more than a decade of experience in the field, Maurice is skilled in data analysis, data modeling, data engineering, and data visualisation. He has held positions such as data architect, project manager, and lead developer, and is driven by the challenge of solving complex data problems and helping businesses make data-driven decisions

Joost is a machine learning engineer with a research background and a passion for technology.

Joost’s curiosity and creativity encourage him to explore and come up with out of the box solutions with a healthy dose of pragmatism. He has a broad knowledge base that enables him to keep track of the big picture and bridge different areas of expertise. In this way he has contributed to complex machine learning engineering challenges.