Davit Mayilyan

Davit Mayilyan is an accomplished data engineer and senior data scientist with a strong background in data analytics, machine learning, and simulation modeling. Current roles include data engineer at EPAM Systems, where standardized Python pipelines optimize data loading from multiple devices, and senior data scientist at CERN, focusing on convolutional neural network and generative adversarial network-based simulation parameter tuning. Previous experience includes leading fraud detection machine learning model development at Grover, software engineering at HTM Reetz GmbH, and conducting extensive research in detector physics during a PhD at Paul Scherrer Institut PSI. Davit holds a Master's degree in Physics from ETH Zürich and a Bachelor's degree in Nuclear Physics from Yerevan State University.