Expertise includes among others:

• Climate Tech & Software Development: Designed and developed AI-powered software to help homeowners become more sustainable, overseeing the implementation of these applications across multiple municipalities.
• E-Mobility & Demand Forecasting: Built machine learning forecasting models to predict e-moped demand, optimising fleet allocation and improving battery swap operations.
• Marketplaces & Customer Segmentation: Developed a machine learning model to uncover key drivers behind grocery shopping behaviour, enabling personalised product recommendations.

Background: 2+ years of working experience as a Data Scientist and Software Engineer in Climate Tech, E-mobility, and Marketplaces. BSc in International Business and MSc in Econometrics from Erasmus University Rotterdam.

Why Enjins? “What drew me to Enjins was its focus on Climate Tech. I wanted to combine my background in software engineering and data science to build impactful AI/ML products from end to end – particularly in sustainability. Additionally, the team is always at the forefront of developments in AI and tech innovation, which makes it exciting to be a part of. “