Tom Hammerbacher
About Tom Hammerbacher
Tom Hammerbacher is a Solution Engineer specializing in Data Science at PHOENIX CONTACT, where he develops machine learning solutions for factory automation. He holds a Master of Science in Information Technology and a Bachelor of Science in Technical Computer Science from Technische Hochschule Ostwestfalen-Lippe.
Work at PHOENIX CONTACT
Tom Hammerbacher has been employed at PHOENIX CONTACT as a Solution Engineer in Data Science since 2021. In this role, he develops industrial machine learning solutions tailored for the vertical market management of factory automation. His work emphasizes the automated creation, execution, and improvement of neural networks. Prior to his current position, he participated in dual study programs at PHOENIX CONTACT, where he gained practical experience while pursuing his degrees.
Education and Expertise
Tom Hammerbacher holds a Master of Science (MS) degree in Information Technology from Technische Hochschule Ostwestfalen-Lippe, which he completed from 2019 to 2021. He also earned a Bachelor of Science (BS) in Technische Informatik from the same institution, studying from 2016 to 2019. His educational background provides a strong foundation in information technology and technical informatics, contributing to his expertise in machine learning and data science.
Background
Tom Hammerbacher's professional journey began with his dual study program at PHOENIX CONTACT, where he worked while studying for his Bachelor of Science in Technische Informatik from 2015 to 2019. He continued with a dual study program for his Master of Science in Information Technology from 2019 to 2021 at the same company. This combination of academic and practical experience has shaped his career in data science and machine learning.
Professional Focus
In his current role as a Solution Engineer, Tom Hammerbacher focuses on the development of industrial machine learning solutions. His work is centered on the vertical market management of factory automation, where he applies his knowledge of neural networks. His responsibilities include the automated creation, execution, and enhancement of these networks, reflecting his commitment to advancing technology in industrial settings.