Python Predictions is a team with a healthy mix of business and technical oriented data profiles. Our passion for data science and our shared values are what connects us and why we enjoy working together for our clients. Since January 2020, Python Predictions is part of the Tobania group, the leading Belgian Business & Technology Consulting company. We are happy to introduce you to our team, our PyTobians.
Co-founder & Managing Partner
Co-founder & Managing Partner
Klaas Van den Heede
At Python Predictions, he mainly works on projects in the telecommunications industry.
At Python Predictions, Elien’s main responsibilities are retention of talent and recruitment of new team members. Besides this, Elien is also in charge of general office management.
Since he started at Python Predictions, Benoît developed skills in data analysis, segmentation, recommendations and predictive modelling. He has been working for clients in a wide range of industries such as retail, energy, banking and telco.
At Python Predictions, Nick has gained expertise in data analysis, big data processing, predictive modeling, analytics translation and change management.
He holds a Master's degree in Business Economics from Solvay Brussels School, had a brief stint as a financial risk management consultant, and holds a joint PhD from the Université de Neuchâtel and the Vrije Universiteit Brussel. During his research, he studied how to use textual data to generate better time series forecasts. He is an open-source software adept.
Sander Vanden Hautte
He holds a Master’s degree in Industrial Engineering (ICT) and performed PhD research specializing in monitoring industrial assets and detecting anomalies. Before his PhD research, Sander has gained several years of experience as a developer and technical analyst in the insurance domain.
Before joining Python Predictions, Daan gained experience in banking and KYC.
Customer Success Manager
Hannes is the person who is going to support your organization in every part of the data journey. He understands (our) clients like no one else and helps them to become futureproof and data driven.
Hendrik De Winter
Hendrik has a great interest in topics such as segmentation, classification, dimension reduction, association rules and time series analysis.
Elena De Roeck
She graduated in Business Engineering: Data Analytics at Ghent University.
Nicolás started his career working several years in different Software Engineering related positions and industries abroad. He then decided to focus on Data Engineering in order to build impactful applications that leverage the power of Data and AI.
He started his career working for a couple of start-ups as a Full Stack Engineer. During this time, he obtained a Master's degree in Management from the Solvay Business School. Having found an interest in cloud computing and data pipelines, he decided to continue his career as a Data Engineer.