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Anass Bellachehab has a diverse work experience in scientific research and data science. Anass is currently working as a Scientific Staff at Synchrotron SOLEIL since January 2021. Prior to that, they worked at Sogeti as a Data Scientist from September 2016 to June 2019. During their time at Sogeti, their main project involved using machine learning techniques for predictive maintenance and anomaly detection in the IT systems of societe generale's online banking platforms. This project resulted in the successful detection of application meltdowns 5 minutes in advance, with no false positives. Before joining Sogeti, Anass worked as a PhD student at TELECOM SudParis from November 2012 to October 2015.

Anass Bellachehab began their education in 2007 at Télécom Paris, where they pursued a degree in Electrical and Electronics Engineering. Anass successfully completed their Engineer's Degree in this field in 2011. During the same time period, from 2010 to 2011, they also attended Ecole normale supérieure and obtained a Master's Degree in Physics.

In 2011, Anass continued their academic journey at Université Paris Cité, where they pursued a Master's Degree in Applied Mathematics. Anass completed this program in 2012.

Anass then went on to pursue a Doctor of Philosophy (Ph.D.) at Télécom SudParis from 2012 to 2015, specializing in Applied Mathematics.

Throughout their education, Anass Bellachehab focused on technical fields such as Engineering, Physics, and Applied Mathematics, demonstrating a clear interest in these subjects and a commitment to furthering their knowledge and skills in these areas.