Mariem Smari
About Mariem Smari
Mariem Smari is a Data Science Intern with expertise in deep learning and computer vision techniques. She has contributed to the 'Qualiphy Count' application and has a solid educational background in data science and computer science.
Current Role at DNA Global Analytics
Mariem Smari serves as a Data Science Intern at DNA Global Analytics, a position she has held since 2021. In this role, she applies deep learning and computer vision techniques to various projects. Her contributions include enhancing the 'Qualiphy Count' application, which focuses on visual data extraction and detection for client profiling. This experience allows her to develop practical skills in data science while contributing to the company's objectives.
Previous Experience in Data Science
Prior to her current role, Mariem Smari worked at Galactech Studio as a Data Science Intern for one month during the summer of 2020. This experience provided her with foundational skills in data science. Additionally, she completed an internship at Compagnie des Phosphates de Gafsa in 2016, also lasting one month. These positions helped her gain practical experience in the field before advancing to her current internship.
Educational Background in Data Science
Mariem Smari has a strong educational background in data science. She studied at Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT, where she earned a Cycle d'ingénierie with a focus on Informatique - Option Data Science from 2018 to 2021. Additionally, she obtained a Licence Fondamentale en Sciences Informatique from Institut supérieur des Technologies de l'Informations et de Communication Borj Cédria from 2015 to 2018. Furthermore, she pursued a Master 2 - Double diplôme sans mobilité in Actuariat parcours Data Science at Le Mans Université from 2019 to 2021.
Specialization in Object Detection
Mariem Smari specializes in object detection as part of her data science projects. This specialization involves utilizing advanced techniques in deep learning and computer vision to analyze and interpret visual data. Her focus on this area enhances her contributions to projects at DNA Global Analytics, particularly in applications that require precise visual data extraction and detection.