MN
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.
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MN
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MN is dedicated to providing results-oriented solutions to pension funds and other institutional investors in order to enable them to achieve their strategic goals. We focus on providing solutions in the areas of investment management, pension administration and management support. Our clients are industry-wide pension funds, corporate pension funds and insurance companies in the Netherlands. Our profile Originating from the Netherlands, MN is a leading provider of pension administration and investment management services. Our clients partner with us because of our innovative services and our deep understanding of pensions in all their aspects and our affinity with the challenges faces by trustees of pension funds.