Nicolas Symeou

As a Data Scientist Consultant, I helped clients maintain and expand their AI projects, while raising the standard of code quality and operational efficiency. Internally, both individually and as part of a team, I created teaching materials and workshops introducing new technologies, python libraries and best practices to my colleagues and clients. Additionally, I helped create whitepapers and platform comparisons in order to help clients to make the best decisions regarding their IT infrastructure.

Developing machine learning systems for handwriting recognition as well as writing and presenting a series of 6 short lectures as an introduction to the core concepts of machine learning.

As part of my Master Thesis produced in collaboration with Krones AG, i spend 3 months as an intern in the R&D department, after which i was employed as a Masters Student for 6 months. I was heavily involved in a research project and had the task of optimizing said project from an systemic viewpoint.

Computational Physics, Optimization Algorithms, Industry Physics