Radia Belhocine
About Radia Belhocine
Radia Belhocine is a Lead Data Science & AI professional currently working at Solita in Louvain, Belgium. She has extensive experience in data science and analytics, having held various roles at notable companies including UCB, L'Oréal, and Belfius.
Work at Solita
Radia Belhocine currently serves as the Lead Data Science & AI at Solita, a position she has held since 2022. In this role, she focuses on leveraging data science and artificial intelligence to drive business solutions. Solita is known for its expertise in digital transformation and data-driven strategies, and Belhocine contributes to these initiatives through her leadership in data science projects.
Previous Experience in Data Science
Prior to her current role, Radia Belhocine worked at several organizations in data science and analytics positions. She was a Data Scientist Consultant and Team Lead at CIRB_CIBG for five months in 2020. Following that, she held a Senior Consultant position at UCB from 2020 to 2022, specializing in R/RShiny. Additionally, she served as Team Lead Data Science at Business & Decision Belgium during the same period.
Consulting Roles in the Industry
Belhocine has extensive experience in consulting roles across various sectors. She worked at L'Oréal as a Technical/AI Lead Consultant from 2021 to 2022 and previously as a Data Science Consultant in Cosmetovigilance in 2018. Her consulting experience also includes positions at Belfius, Carrefour, and the Ministry of Finance, where she focused on big data and analytics.
Educational Background
Radia Belhocine holds a Bachelor's degree in Mathematics and Economics from Aix-Marseille Université, where she graduated with First Class Honors. She furthered her education at Université catholique de Louvain, earning a Master's degree in Applied Statistics with a focus on Data Mining. Her academic background provides a strong foundation for her work in data science and analytics.
Early Career and Internships
Belhocine began her career with various internships that laid the groundwork for her expertise in data science. She completed an internship at Keyrus in 2015, focusing on data science, and another at IGA in 2014, where she worked in accounting and programming. These early experiences contributed to her development in the field and her subsequent roles in data science.