Our team is young and ambitious.
We have various backgrounds, but we all share a fascination for machine learning and solving relevant real world problems.
Yannick Maltha is co-founder and CEO of Dutch Analytics. At the Delft University of Technology he graduated cum laude in Systems Engineering, Policy Analysis and Management. During his studies, Yannick has been actively involved in the field of entrepreneurship.
Starting with his own startup, Yannick became president of the student society of YES!Delft in 2013 (4th position in the European UBI Index 2015). In his final years of his study he supported the development of a startup incubator in South Africa, and the IRPdelft team offering business projects in emerging markets around the world.
Victor is co-founder and CTO of Dutch Analytics. He did his bachelor in Aerospace Engineering with a minor in Econometrics and a master in Control & Simulation at Delft University of Technology. While in high school, he started his first company, which he sold at the age of 20.
During his studies, he developed a large interest in Data Science and Machine Learning. In 2014, Victor spent half a year in the Silicon Valley startup ecosystem doing research for Healthcare Innovation Transfer on the use of data analytics in the healthcare sector.
Dieuwke is an entrepreneurial coach for startups and has a broad experience as cofounder of several startups. Lately, she worked as co-founder for the Venture Generator and became part of the birth of Dutch Analytics. She is really pleased to join the young team of Dutch Analytics with her seniority, advice and experience.
Nienke is HR Manager of Dutch Analytics. She graduated at Hotelschool The Hague, an international business school specialized in hospitality management. Subsequently, she studied mathematics and is currently in her bridging program in order to be eligible to start her Master’s degree in Transport, Infrastructure and Logistics at Delft University of Technology.
Next to her studies, she has been actively involved in several committees in Delft focusing on business and financial management. Additionally, she has worked abroad in Barcelona and did an internship and thesis in analyzing operational management and logistics for exhibitions.
Panagiotis Korvesis graduated from the University of Patras in Greece, where he studied Computer Engineering and Informatics. He obtained his MS.c. in Computer Science from the same school and then, he moved to France to perform his Ph.D. studies in Data Science for the aviation industry.
Panagiotis is passionate about data science and algorithms and during the past six years, he has worked on predictive analytics for problems arising in commercial aviation and healthcare. Influenced by his engineering background, he is fond of building effective and innovative solutions and consequently, he joined the team of Dutch Analytics.
Anton did his Bachelor’s degree in Electrical Engineering at Delft University of Technology. Subsequently, he followed a bridging program to do a Master’s degree in Applied Physics. During his Master’s, Anton joined the TU Delft iGEM 2014 Team, which developed a plug-and-play electrical output module in E. coli to which biosensors can be coupled.
For his Master’s Thesis, Anton uncovered dynamics of the Bacterial Flagellar Motor which were hidden in experimental data up till now. After an internship of seven months at ASML, he decided to explore the possibilities of machine learning and joined Dutch Analytics.
Panagiotis, originally coming from Greece, is working as Software Developer at Dutch Analytics. After obtaining his bachelor in Business Management and Information Systems, he spent a year in the UK doing his master in Operational Research, Applied Statistics and Financial Risk at Cardiff University.
During his MSc studies he accomplished his dissertation with title Benchmark for Operating Room Scheduling at University of Twente, as an Erasmus placement in The Netherlands. His genuine love in programming, statistics and clever algorithms made him join Dutch Analytics.
Zoltán did his Bachelor’s degree in Applied Economics at ELTE, Budapest. He then moved to Amsterdam, for an MSc in Behavioral Economics and Game Theory, where he had several extracurricular courses in Data Science.
After finishing his Master’s, Zoltán worked one year at Wakoopa as a Data Specialist, dealing with predictive models and case studies. Additionally, he was part of the winning team at the EU Hackathon in Brussels, where his team won with a visualization about illegal downloads. His keen interest in Machine Learning led him to Dutch Analytics.
Marta did her Bachelor’s and Master’s degree in Quantitative Methods at Warsaw School of Economics. She also spent a semester abroad in Norway at NHH, where she was a member of the Global Economic Perspective – a student discussion club. During her studies she took an interest in machine learning and textual analysis which was the topic of her dissertation.
After finishing her MSc studies she moved to Frankfurt where she was working for the European Central Bank. She’s very keen on new technologies, particularly those related to data science which is why she joined Dutch Analytics.
Yannick is currently doing his Bachelor’s degree in Applied Mathematics at Delft University of Technology and plans to do his minor in Computer Science. One of his favorite things is and has been competing in online programming contests on Hackerrank.
After completing several programming projects in his spare time, Yannick decided to expand his programming experience and therefore completed several certified machine learning courses by MIT, online. To challenge himself even more he chose to do an internship at Dutch Analytics. Ever since Yannick has been eager to adopt new challenges on the field of predictive computer models.
Ricardo, originally from Portugal, is currently doing his Bachelor degree in Aerospace Engineering at Delft University of Technology. Additionally, he did his minor in Entrepreneurship and Innovation at Leiden University. It was at this time, Ricardo started his first start-up.
During his studies, he developed a large interest for Big Data, due to its enormous potential to have a positive societal impact. Being able to collect and analyse data in a reliable and efficient way is great, but having systems learning from that data has sparked in him a great curiosity to explore all the potential of Machine Learning. Together with his genuine love for programming and efficient algorithms, this made him join Dutch Analytics.