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5 months experience - Dree completed his Master in Business Economics, specializing in Corporate Finance, at Ghent University. During his studies, he developed a strong interest in how financial insights support strategic decision-making. He built a solid foundation in valuation, financial processes, and the interpretation of financial data within a business context. He is eager to explore how data and technology can strengthen financial decision-making and create tangible business value.

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20 years experience - Bart is a SAP BW/4HANA Data Engineer and Analytics Consultant with over 20 years of experience in SAP BI/BW, enterprise data warehousing, and analytics. He specializes in BW7 to BW/4HANA migrations, ECC to S/4HANA analytics transitions, and the redesign of complex legacy data landscapes.

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1 year experience - Arthur started his journey with a Bachelor in Finance and Insurance, which gave him a sharp eye for numbers and risk management right from the start. To add a technological edge to that financial foundation, he headed to Ghent University to complete a Master in Management & IT. This academic mix allows him to bridge the gap between business logic and technical execution, making him the perfect translator between stakeholders and IT teams.

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1 year experience - Himanshu is a Data Scientist and AI Engineer with a multidisciplinary background spanning Electrical Engineering, Environmental Studies, and Statistics & Data Science from KU Leuven. His work sits at the intersection of modern AI, advanced statistical modeling, and real-world impact.

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4 months experience - Alessio obtained a Master in Business Engineering with a specialization in Finance, Accounting and Control at Solvay Brussels School of Economics and Management (ULB). He developed a strong interest in corporate finance, financial reporting and risk management.

4 months experience - Alessio behaalde een master in Business Engineering met een specialisatie in Finance, Accounting and Control aan de Solvay Brussels School of Economics and Management (ULB). Hij ontwikkelde een sterke interesse in corporate finance, financiële rapportering en risicobeheer. In zijn masterthesis analyseerde hij of het opnemen van kasstroomindicatoren de voorspelling van bedrijfsfaillissementen verbetert in vergelijking met modellen die uitsluitend gebaseerd zijn op boekhoudkundige ratio’s.