Anas Habboub
About Anas Habboub
Anas Habboub is a Data Science & AI Lead with extensive experience in data science and analytics across various industries, including finance and healthcare. He has held roles at several organizations, including Colruyt Group and Solita, and possesses a diverse educational background in marketing analysis and applied economics.
Current Role at Solita
Anas Habboub serves as the Data Science & AI Lead at Solita, a position he has held since 2022. In this role, he leads a team focused on data science and artificial intelligence initiatives. His responsibilities include overseeing projects that leverage data analytics to drive business decisions and enhance operational efficiency. Habboub's leadership in this capacity emphasizes the importance of data-driven strategies in achieving organizational goals.
Previous Experience in Data Science and Analytics
Prior to his current role, Habboub accumulated extensive experience in data science and analytics across various organizations. He worked as a Senior Data Scientist at AIB - Association of Issuing Bodies for two months in 2022 and served as an Analytics Consultant at Infrabel for four months in 2020. His tenure at UCB spanned two years, where he held positions as both an R Developer and Data Scientist. Habboub also contributed to data science projects at Danone, Orange Business Services, and Carrefour, among others.
Educational Background
Anas Habboub has a diverse educational background. He studied at Solvay Brussels School, where he earned a Master of Science in Applied Economics: Business Engineer from 2006 to 2014. He furthered his education at Universiteit Gent, obtaining a Master of Science in Marketing Analysis in 2015. Additionally, he completed a degree in Academic Teacher Education at Universiteit Antwerpen, achieving this distinction from 2020 to 2021. His educational qualifications support his expertise in data science and analytics.
Industry Experience and Skills
Habboub possesses extensive experience in data science and analytics across multiple industries, including finance, telecommunications, and healthcare. His career includes roles in both public and private sectors, where he has provided data-driven insights and solutions. His skill set encompasses a strong foundation in both academic and practical applications of data science, enabling him to effectively lead teams and projects in this field.