Summary
Darya Pronina is a Senior Data Scientist based in Barcelona with nine years of experience building personalized ML products and scalable data pipelines. She has led recommendation and computer-vision initiatives at consumer-facing companies like Glovo, AliExpress Russia and Lamoda, productionizing models with PySpark, PyTorch, Docker and Airflow. Her work spans matrix-factorization and neural recommender models, automated A/B testing pipelines, and a visual clothing selection mechanic driven by convolutional networks. Darya pairs hands-on engineering with team-focused improvements—introducing coding and workflow practices and mentoring junior engineers. A strong quantitative foundation from a mathematics-focused degree underpins her emphasis on rigorous experimentation and metric design. She brings a rare blend of product intuition and production-grade deployment experience that helps translate research into measurable business impact.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Mathematical Methods in Economics, 4.75, Bachelor's degree, Mathematical Methods in Economics, 4.75 at Российский Экономический Университет им. Г.В. Плеханова
Русский, Английский, Испанский