Yurii Paniv, Data Scientist at Nortal and a PhD student in Computer Science at the Ukrainian Catholic University (UCU), works on developing unsupervised and semi-supervised methods to train high-quality machine learning models using minimal data. His professional experience spans working on recommendation systems and data analysis for retail, financials, automatic microchip quality assurance, and serving and processing vast amounts of geospatial data. Besides his career, Yurii is an open-source contributor working on Text-To-Speech and Speech Recognition models with a focus on low-resourced languages, such as Ukrainian and Crimean Tatar languages, as well as text generation and question-answering models.