Rachid Belmeskine, Ph.D

Rachid Belmeskine, Ph.D, has a strong background in artificial intelligence and data science. Rachid is currently the Co-Founder and Chief Technology Officer at Convergaince, a role they started in February 2022. Prior to that, they were the Co-Founder and Head of AI Solutions at AIQ from November 2020 to January 2022.

From October 2020 to January 2022, Rachid worked at G42 as the Head of AI Solutions. Before that, they held the position of Lead Data Scientist from May 2019 to October 2020, and Senior Data Scientist from September 2018 to May 2019.

In 2018, Rachid was a Senior Data Scientist at WIZDEO from January to August. Prior to that, they worked as a Data Scientist at Mazedia from January 2016 to January 2018.

Rachid's impressive career in the field of data science began in 2012, when they served as a Ph.D Candidate at the University of Picardy Jules Verne from January 2012 to December 2015. Before that, they gained experience in software engineering through roles at aYaline as a Software Engineer from August to November 2011, and at Planet Soft as a Software Engineer Intern from February to July 2011.

Rachid Belmeskine, Ph.D has a strong educational background in computer science and mathematics. Rachid obtained their Bachelor's degree in Mathematics and Computer Science from Université Sidi Mohammed Ben Abdellah-Fès in 2009. Rachid then went on to pursue a Master's degree in Computer Science from Université Mohammed Premier Oujda, which they completed in 2011. Rachid furthered their education by obtaining a Doctor of Philosophy - PhD from Université de Picardie Jules Verne (Amiens) in 2015.

In addition to their formal education, Rachid has also obtained several certifications to enhance their skills and knowledge. Rachid completed the Deep Learning Specialization from Coursera in February 2018, the HDP Certified Developer and HDP Certified Spark Developer certifications from Hortonworks in October 2017, the Data Science Specialization from Johns Hopkins University in September 2016, and the Machine Learning course from Stanford University in January 2016.

Overall, Rachid Belmeskine, Ph.D has a significant educational background in computer science, mathematics, and data science, supported by their academic degrees and certifications.