Ahmet Aker

Ahmet Aker has a diverse work experience starting from 2000. Ahmet has worked as a Co-Founder at Bonpedia since 2022. Previously, they were a Research Fellow at the University of Duisburg-Essen from 2016, where they conducted research in Data Science, Natural Language Processing, and Information Retrieval. In this role, they supervised numerous thesis and PhD students, as well as junior staff and scientists. Additionally, they led Masters-level practical group projects that resulted in published outputs in international conferences.

Ahmet also worked as a Team Lead Data Scientist at asambeauty starting from 2021. Prior to that, they served as the Chief Executive Officer at DataRhine from 2020 until 2022. Before that, they had worked as a Research Fellow at the University of Sheffield from 2007 to 2016. In this position, they worked on multiple EU funded research projects and received acknowledgment for exceptional contribution several times. Ahmet applied various statistical and machine learning methods for Natural Language Processing challenges, authored scientific papers, and wrote research reports for EU projects.

Additionally, Ahmet worked in various roles at the University of Sheffield and the University of Dortmund, including teaching secondary school students, tutoring in C++ and Java, and leading discussion groups on software design patterns.

Overall, Ahmet Aker has a strong background in research, data science, and leadership roles.

Ahmet Aker earned their Doctor of Philosophy (PhD) degree in Natural Language Processing from The University of Sheffield, from 2007 to 2013. Prior to that, they obtained a Master's degree in Computer Science, Advanced Software Engineering from The University of Sheffield in 2007. Ahmet completed their undergraduate studies in Computer Science, earning a German Diplom from TU Dortmund University from 2000 to 2005. Additionally, Ahmet has obtained several certifications in various fields such as Named Entity Recognition, Text Classification, Social Media Marketing, and Machine Learning from Coursera.