Alexander Andreev

Alexander Andreev is a seasoned professional with over 20 years of experience in data science and machine learning.

His expertise in working with databases allows him to swiftly adapt data for insights using advanced machine learning models.

With a background in electronics, he excels in developing automated systems leveraging artificial intelligence technologies.

Alexander's core competencies include data science, machine learning, deep learning, computer vision, and programming languages such as Python, C++, and SQL.

He holds a Diplom-Ingenieur in Computertechnik/Computersystemtechnik from Saint Petersburg State Electrotechnical University 'LETI' and various certificates in fields like self-driving car engineering, data analysis, and deep learning.

Throughout his career, Alexander has been associated with organizations like CuBe Matrix as a freelancer and Udacity in educational roles.

His past roles include being a system administrator at Hochschule and a software engineer at PH Computer Pütz & Höh oHG.

Continuously expanding his skill set, Alexander also completed coursework in advanced computer vision and generative adversarial networks (GANs) and variational encoders.