Amal Chaari

Amal Chaari is a skilled data analyst and data scientist with extensive experience in the field of data science. Currently serving as a Data Analyst at Enedis and a Data Scientist at Qlower since July 2022, Amal has a strong background in automating processes and developing predictive systems. Previous roles include a Data Scientist position at Leavy.co, where an API for detecting apartment equipment through images was created, and a Data Scientist role at MonResto.tn focused on predicting order volumes. Other positions include consultancy at BEEZEN, internships at Boostiny, Mitakus analytics, as well as technical work at Orange Tunisie and Tunisie Télécom. Amal holds a degree in Data Science engineering from Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT and a Licence in Networks and Telecom Systems from Institut Supérieur des Etudes Technologiques en Communications de Tunis. Advanced technical expertise includes technologies such as YOLOV3, YOLOV4, RetinaNet, Detectron2, Darknet, TensorFlow, OpenCV, and CUDA.