Tetiana Sverhun

Tetiana Sverhun is a seasoned data scientist and analyst with extensive experience in machine learning, natural language processing, and digital marketing. Currently working at FedEx, Tetiana has developed solutions for volume forecasting and string matching, utilized LLM techniques for scan sequence analysis, and created data-driven insights through dashboards across multiple visualization tools. Previous roles at TNT and Catawiki involved automation of paid search campaigns, analytics using PySpark, and managing SEA campaigns across various platforms in multiple languages. Tetiana also contributed to SEO and SEM strategies in earlier positions and holds a Master's degree in Optoelectronics and Laser Engineering from Kharkiv National University of Radioelectronics.