Natalia Polyakovska is a Data Scientist with a strong scientific mathematical and engineering background. Has to experience in all stages of building machine learning solutions – from business analysis to deployment on production. Has strong experience in extracting meaning from structured and unstructured data including the tabular, text, and image data, applying machine learning techniques. Was involved in various research and product development projects from developing functionality to managing business requirements building models to product ownership.
Natalia leads the team of a few data scientists from technical and educational perspectives as well as she is involved in building competence development strategies in the data science group