Roman Solovyev

Roman Solovyev is a Senior Data Scientist at Mondu, specializing in building internal Feature Stores, developing Credit Risk ML Models, and automating customer support using large language models, while also creating data science courses for employee education. Previously, Roman served as a Data Scientist at Revolut in the Financial Crime Department, focusing on ML models for fraud detection and implementing Continuous Delivery for Machine Learning. Earlier experience includes roles at adjust.com, where Roman developed marketing benchmark tools, and Wheely, where responsibilities included data science team management and optimization modeling. Roman began their career as an Analyst at Zoon.ru and has also worked as a Statistical Analyst for medical data and a Research Assistant at the National Research University - Higher School of Economics. Roman holds a Bachelor's degree in Statistics and Data Analysis from the Higher School of Economics and has additional education from Cambridge Coding Academy and Coursera.