Karel Verhoeven

Karel Verhoeven is a seasoned professional with over ten years of extensive experience in data and analytics.

Currently serving as the Director of Engineering: Machine Learning at Teya, a company focusing on AI solutions for social impact, Karel leads a team of skilled engineers and data scientists.

His responsibilities include designing, developing, and implementing machine learning models and pipelines for projects tackling global issues like climate change, health, and education.

Karel collaborates closely with product and business teams to ensure alignment between technical strategies and the company's core values and objectives.

Previously, Karel held the position of Director of Data and Analytics at Teya, where he managed data infrastructure, governance, and analysis across the organization.

Apart from his current role, Karel has experience as a Data Science Mentor at Springboard, an online platform offering education in data, design, and coding to learners seeking to acquire essential skills.

He possesses a solid foundation in statistics, data modeling, and Python programming and holds a degree in Operations Research from the University of Stellenbosch.

Karel is deeply committed to leveraging data and artificial intelligence (AI) to drive positive societal changes and empower communities globally.