Ibtissem Kadri

Ibtissem Kadri has a diverse work experience in the fields of artificial intelligence, computer vision, data science, and research. Ibtissem currently works as an AI Engineer at InstaDeep Ltd since February 2021. Prior to this, they worked as a Computer Vision Engineer, where they developed video editing techniques using deep learning, including building super-resolution models and removing objects from videos. Ibtissem also has experience as a Data Scientist at DATAVORA, where they worked on tasks such as E-commerce price forecasting, object detection using deep learning, and classification of damaged mobile phones. Additionally, they worked as a Data Scientist at IntilaQ Tunisia, where they gained proficiency in Python and various data science techniques, including data preparation and supervised learning. Ibtissem also worked as a Researcher at SUP'COM, focusing on the early detection of Amyotrophic Lateral Sclerosis disease and the analysis of voice and EMG signals. Ibtissem has also worked as a Research Trainee at Avignon Université and an Artificial Intelligence Researcher at ENSI. Prior to these roles, they gained experience as a Python Developer at SAGEMCOM.

Ibtissem Kadri's education history can be summarized as follows:

Ibtissem Kadri obtained a Computer Engineering degree from ENSI - Ecole Nationale des Sciences de l'Informatique, where they studied from 2010 to 2013. Prior to that, they completed the Degree of Preparatory cycle for engineering studies at IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de Tunis from 2008 to 2010.

In addition to their formal education, Ibtissem Kadri has also obtained various certifications in the field of machine learning and artificial intelligence. These certifications include the Generative Adversarial Networks (GANs) Specialization, Natural Language Processing Specialization, Deep Learning Specialization, Sequence Models, Convolutional Neural Networks, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, Introduction to Python & Machine Learning (with Analytics Vidhya Hackathons), and Machine Learning. These certifications were obtained from institutions such as Coursera and DataCamp between the years 2017 and 2020.