
Kataryna is a senior Machine Learning Engineer with 13+ years of experience building predictive models used directly in digital products. Her background blends applied statistics, data engineering, and software engineering, allowing her to deliver production-ready ML systems. She has mainly worked with US-based SaaS and fintech companies, contributing to strategic decisions around pricing, retention, and growth in distributed, high-ownership environments.

Kataryna has designed and deployed churn prediction, demand forecasting, and dynamic pricing models, owning the full ML lifecycle from problem definition to post-deployment monitoring. She works closely with MLOps teams to ensure scalability and long-term reliability.
Her approach is impact-driven, evaluating models based on real business outcomes rather than offline metrics alone. She is particularly skilled at explaining complex ML concepts to non-technical stakeholders.
