Summary
Lena Volzhina is a Machine Learning Scientist with 11 years of experience applying mathematical rigor to production ML systems across recommendation, forecasting, and personalization. Currently at Booking.com, she builds and evaluates models that impact real user experiences, drawing on prior roles at Yandex where she ran end-to-end experiments for Yandex.Maps personalization and developed large-scale weather forecasting pipelines. She combines strong Python and backend skills with hands-on exposure to C++ production infrastructure and big-data techniques like MapReduce. Lena has designed adaptive recommender systems and knowledge-graph–driven learning models at Stepik, and she mentors junior engineers while maintaining robust, reproducible pipelines. Known for bridging research-quality modeling and practical system debugging, she excels at turning complex hypotheses into reliable online experiments. Based in the Netherlands, she brings a rare mix of academic training in analytical information systems and a pragmatic, production-first mindset.
11 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Analytical Information Systems, Master's degree, Computer Science, Analytical Information Systems at Saint Petersburg State University
Software Engineering, Software Engineering at Computer Science Center