Slim Frikha
About Slim Frikha
Slim Frikha is a Senior Machine Learning Scientist and Science & Tech Lead specializing in NLP, LLM, and Deep Learning. He leads a team at Contentsquare, focusing on website semantics and the application of machine learning in business contexts.
Current Role at Contentsquare
Slim Frikha currently serves as a Senior Machine Learning Scientist and Science & Tech Lead at Contentsquare. He has been in this role since 2022, focusing on Natural Language Processing (NLP), Large Language Models (LLM), and Deep Learning. He leads a team of four machine learning practitioners dedicated to understanding website semantics in a unified and structured manner. His work involves developing predictive analytics solutions for a SaaS platform, contributing to the company's mission of enhancing digital experiences.
Previous Experience at Contentsquare
Before his current position, Slim Frikha worked at Contentsquare from 2018 to 2021 as a Senior Machine Learning Scientist. During his three years in this role, he specialized in Deep Learning and NLP. His contributions focused on translating complex research into practical applications, aligning machine learning innovations with business needs.
Professional Background at EY
Slim Frikha has a background in data science and consulting from his time at EY. He worked as a Data Scientist from 2015 to 2016 and previously as a Consultant in Information Systems from 2014 to 2015. His roles involved analyzing data and providing insights to enhance business strategies, contributing to the overall effectiveness of client projects.
Experience at HrFlow.ai
From 2016 to 2018, Slim Frikha held the position of Lead Machine Learning Applied Scientist at HrFlow.ai. In this role, he focused on Deep Learning, Computer Vision (CV), and NLP. His work contributed to the development of advanced machine learning solutions within the organization, enhancing the capabilities of their technology.
Education in Computer Science
Slim Frikha studied at Ecole Nationale d'Ingénieurs de Tunis and earned an Engineer's degree in Computer Science from 2011 to 2014. He also attended ENSTA Paris, where he furthered his studies in the same field during the same period. His educational background laid the foundation for his expertise in machine learning and data science.