Irina Shvedova is an accomplished data scientist with years of experience in the field. She holds a Ph.D. in Computer Science from Columbia University and has worked with companies such as IBM and Google. Her expertise in data mining and machine learning has been applied to a wide range of industries, including healthcare, finance, and marketing.

Shvedova has a strong academic background, having published several research papers in top-tier journals and conferences. Her work focuses on probabilistic modeling, natural language processing, and unsupervised learning. She is also an experienced instructor, having taught courses on data science and machine learning at Columbia University and other institutions.

In her spare time, Shvedova is an avid traveler and foodie. She enjoys trying new cuisines and exploring different cultures. She is fluent in Russian and English and has conversational proficiency in Spanish and French.