Aleksey Romanov

Aleksey Romanov is a seasoned Senior Staff Data Scientist at Grid Dynamics, where responsibilities include leading the development of a deep learning churn model for a major US telecom company and managing multiple data science teams. Aleksey has achieved significant improvements in the model's performance, established GitLab repository processes, and collaborated on creating a new Docker environment for deep learning. Previous experience encompasses roles as Recommendation Systems Practice Lead at Grid Dynamics, where strategic R&D initiatives were launched, and as an AI and NLP Consultant at UpdateAI. Aleksey's academic background includes a Bachelor's, Master's, and ongoing PhD in Computer Science from Saratov State University.