Martha-Evgenia Nikolaou is a lecturer and data science professional with over 10 years of experience translating business challenges into data-driven solutions. Her professional background spans diverse industries including retail, IoT, financial services, and energy, where she has designed end-to-end analytics pipelines, developed machine learning models, and led cross-functional teams. Martha is passionate about empowering students and colleagues through practical, hands-on data science education and mentoring. Her teaching focuses on bridging the gap between theoretical data science concepts and real-world business applications, drawing from her extensive industry experience in developing scalable AI/ML solutions.

Expertise

• Data Science
• Machine Learning
• Machine Learning Engineering
• MLOps
• Cloud-Based Data Architectures

Education

• P.D.Eng. Mathematics for Industry, Eindhoven University of Technology, 2016
• M.Sc. Statistics (Accredited by the Royal Statistical Society), KULeuven, 2014
• B.Sc. Applied Mathematics, University of Crete, 2010