Liubov Presnetsova

Liubov specializes in data analysis using R and Python. Presently, her research focuses on machine learning techniques to interpret complex datasets. She has been assisting and working on several paleoecological studies since joining the USGS. She has worked with a team of scientists on a diverse set of research projects focusing on reconstructing past conditions and human impacts on natural systems in various regions of the world. Since receiving her Data Science Graduate Certificate, Liubov has been working on data-rich project and used her expertise in data analysis and statistics to clean, transform, analyze, and visualize complex datasets. Her current work applies machine learning in a paleoecological setting to improve traditional methodologies.