Data Scientist with a clear, logical mind and a practical approach to problem-solving. I obtained my PhD in the areas of machine learning & AI focusing on the enhanced ensemble methods. During my research I implemented an AI assisted ensemble approach which takes advantage of the knowledge diversity of heterogeneous ML components in dynamic multi-agent environments. I am open-minded, ambitious, and eager to learn person, with a genuine interest in Data Science & Deep Learning areas. During Acquired a wealth of knowledge and skills through work experience in various creative industries and academic roles.
Expertise in the areas of computer vision, predictive maintenance, data manipulation methods and training high quality and robust models to decipher meaningful patterns from data, in the most effective way possible, taking client relationships very seriously.