Pavel Danilov
About Pavel Danilov
Pavel Danilov is a data scientist and deep learning engineer specializing in voice recognition. He has a background in applied mathematics and computer science, holding both a bachelor's and master's degree from Высшая Школа Экономики, and has worked at notable companies including Mail.Ru Group and Yandex.
Current Role at Mail.ru Group
Pavel Danilov has been employed at Mail.ru Group since 2018, where he holds the position of Data Scientist and Deep Learning Engineer specializing in Voice Recognition. His work involves developing algorithms and models that enhance voice recognition technologies, contributing to advancements in the field. His role is critical in leveraging data science techniques to improve user experiences and operational efficiencies within the organization.
Previous Experience in Machine Learning
Prior to his current position, Pavel Danilov worked as a Machine Learning Engineer at Poteha Devs for one month in 2018. His experience also includes a role as a Junior Data Engineer at Retail Rocket in 2016, where he worked for three months. Additionally, he served as an Intern Analyst at Yandex from 2016 to 2017, gaining valuable insights and skills in data analysis and engineering.
Educational Background in Data Science
Pavel Danilov completed his Bachelor's degree in Applied Mathematics and Computer Science at Высшая Школа Экономики from 2012 to 2016. He furthered his education by obtaining a Master's degree in Data Science from the same institution between 2016 and 2018. Additionally, he attended Yandex Data School during the same period, where he focused on Big Data, earning another Master's degree.
Expertise in Voice Recognition and Data Science
Pavel Danilov specializes in voice recognition technologies as part of his work at Mail.ru Group. His educational background in data science, combined with his practical experience in machine learning and data engineering, positions him as a knowledgeable professional in the field. His expertise encompasses various aspects of data analysis, algorithm development, and machine learning applications.