Bart Helder

Bart Helder is a Data Scientist at MN since September 2020, contributing to an internal data consultancy team by overseeing the end-to-end process of custom analytics applications and process automation. Previous experience includes a role as a Business Analytics Developer at Harvest during a year-long traineeship focused on personal development, and as a Data Engineer at Qantas where tasks transitioned from data science to implementation-based engineering. Bart began a career in business intelligence as a Business Intelligence Intern, conducting research on machine learning strategies for competitor price prediction. Academic qualifications include a Master's Degree in Aerospace Engineering with a specialization in Control & Simulation and a Bachelor's Degree in Aerospace Engineering, both from Delft University of Technology. Additional experience includes serving as Head Trainer at Lyceo and a summer internship in sales at TOPdesk. Skills in Python include proficiency in libraries such as pandas, scikit-learn, XGBoost, and seaborn.