Team
Advanced Analytics and Big Data
Bram Schermer
About Bram
At the moment I am a Data Scientist in the Advanced Analytics and Big Data team of KPMG. I have a background in physics and have a masters in particle physics. Since november 2017 I have gained experience in a wide spectrum of sectors ranging from the power grid operators to health care to insurance companies to top sports. Besides Data Science I also have a passion for road cycling, where I can combine both passions in our partnership with Team Sunweb.
Ewine Smits
About Ewine
My current role is operational lead of the Advanced Analytics and Big Data team, responsible for the internal operations and project manager for many of our client engagements. With my BSc in Computer Science and MSc in Media & Knowledge engineering from Delft University of Technology, experience as an AI researcher for the TU Delft and over 8 years of experience in KPMG in several roles, I function as the linking pin between data scientists and clients.
Luca Vavassori
About Luca
Data Science student from the EIT Digital Academy double-degree master, I joined the Data & Analytics team at KPMG in March to develop my Master Thesis in the field of Deep Learning, focusing on object detection. I studied Computer Science Engineering during my Bsc. In my free time I like to travel, discover hidden spots around the city, have deep conversations and listen to music, that is my biggest passion.
Ralph de Wit
About Ralph
From a background in Earth Sciences and using machine learning to infer Earth's structure from seismic data during my PhD, I now work as a data scientist on data of all types and sectors. If I'm not working, I'm travelling or playing sports. The world is outside!
Redmer Bertens
About Redmer
Currently working as data scientist in the advanced analytics and big data team at KPMG. I have a PhD degree in nuclear physics and have spent seven years looking for tiny signals in massive, noisy data sets obtained at the world's largest particle collider - and now bring this experience to KPMG's big data team. Data analysis is rapidly changing the world around us, and we are driving this change!
Riccardo Vincelli
About Riccardo
Choosing Scala as my programming language, about data and infrastructure I am a first-hour Hadoop zoo fanboy recently fell in love with the declarative and smooth paradigm of Kubernetes and the magic of Docker containers. My scientific background is computer science on topics such as signal processing, concurrency models, formal systems in logic and recently game theory as well as math for finance.
Rose Koopman
About Rose
During my PhD in high energy physics I learned to analyse large datsets. Since April 2017 I'm working for KPMG in the role of data scientist. I enjoy solving complex problems and creating value for clients. My focus area is in natural language processing.
Sacha van Hijum
About Sacha
April 2019 I joined the KPMG NL Advanced Analytics & Big Data team as a principal data scientist. Here I am responsible for the Q&A of projects, determining in a team effort vision and strategy, sales support and mentoring of the group members talents.
Susanne Groothuis
About Susanne
I started working for KPMG in 2017 as a Data Scientist in the Advanced Analytics and Big Data team. I have an interdisciplinary background completing a BSc Beta Gamma with a major in Physics, and have a masters in Medical Physics from the UvA. My main interests within data science and machine learning revolve around NLP, Deep learning and visualisations. Outside of work I love to travel, draw, listen to music or play games!
Tim Beishuizen
About Tim
I hold a master degree in both Computer Science and Engineering and Biomedical Engineering, both retrieved at the University of Technology Eindhoven. During my studies my main focus was on understanding and using advanced data analytics and modelling. At the moment I am a data scientist in the Advanced Analytics and Big Data team of KPMG. My main interests are in processing datasets, and extracting information out of them, regarding them as a puzzle that needs to be solved.