Floris Schouw

Floris Schouw is an experienced Machine Learning Engineer and Data Analyst currently working at KPMG Nederland since March 2024, specializing in advanced transformer models for causal pattern uncovering in multivariate time series data. Previously, from September 2022 to September 2023, Floris served as a Data Analyst focused on innovation in audit processes, developing automation tools and enhancing client insights. Prior experience includes conducting traffic intensity forecasting research for a bachelor's thesis at Gemeente Almere and working as a Working Student in TMT/RNN Innovation at KPMG. Floris holds a Master's degree in Information Studies: Data Science from the University of Amsterdam and a Bachelor's degree in Business Analytics, Mathematics, and Computer Science from Vrije Universiteit Amsterdam, complemented by a pre-university degree with a focus on Nature & Science and Philosophy.