Davit Mayilyan

Davit Mayilyan is a seasoned data professional currently serving as a Data Engineer at EPAM Systems, where the standardization of Python pipelines for data loading and enabling efficient searches across datasets are primary responsibilities. Prior experience includes a role as a Senior Data Scientist at CERN, focusing on simulation parameter tuning using CNN/GAN techniques, and high-load data pipeline development. At Grover, significant contributions involved creating the first machine learning model to detect fraud and assess credit risk, resulting in a 30% reduction in fraud rates. Earlier experience as a Software Engineer at HTM Reetz GmbH encompassed modeling Joule heating and automating processes with C++. Academic credentials include a PhD in Detector Physics from Paul Scherrer Institut PSI, where advanced simulations and data analysis were conducted, as well as a Master’s Degree in Physics from ETH Zürich and a Bachelor’s Degree in Nuclear Physics from Yerevan State University.