Nesrine Zarrouki

Nesrine Zarrouki is a Data Scientist at m2hycon GmbH, where Nesrine works on implementing an MLOps pipeline and creating standardized data science templates. Nesrine conducted their Master Thesis on Topological signal processing on audio recordings for predictive maintenance. Prior to this, Nesrine did sentiment analysis on Twitter data using Neural Networks and NLP for their Bachelor Thesis at Capgemini. Additionally, Nesrine has experience in predictive maintenance and software licensing automation with ML and NLP at Deloitte. Nesrine is currently pursuing a Master of Science in Mathematics at Technische Universität Berlin after completing their Bachelor of Science in Informatik-ingenieurwesen at Hamburg University of Technology.