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
AI for Inventory Management in 2 months: Tips and Tricks
Data Science and Machine Learning
Inventory management products can be used almost by any company to “release” the capital costs from physical inventories. Sometimes the implementation of such products may vary not only for each separate company but even within one company based on the opinions of different stakeholders. In this speech, we would like to demonstrate our product journey for one inventory management product implementation.