Sarra Guefrachi

Ensured compliance with industry regulations and company policies while serving clients'' best interests.

• Attended seminars and symposiums to improve overall knowledge and understanding.
• Prepared materials for reports, presentations and submission to peer-reviewed journal publications.
• Experience with database applications and working knowledge of SQL
• Identify and implement data analytics and machine/deep learning methods.
• Design a deep learning system to detect the COVID-19 from chest X-ray images using pre-trained models.
• Create a method for developing a deep learning model, which can make a distinction between real and fake videos.
• realization of a diagnostic tool assisted by computer in real conditions of examinations for the analysis of retinal medical images in view of early detection of diabetic retinopathy by using a multi-stage training combining feature extraction and fine-tuning pre-trained models.
• Developing and managing new deep learning methods with specific applications for the analysis of large databases.

Through this internship, we attempted to make predictions, using deep learning and data science, about a possible second wave of the COVID-19 epidemic that hit most countries in the world based on what the world witnessed during the past century in what is known as the Spanish flu.

• Detect live objects using Tensorflow API and pre-trained models.
• Work closely with other team members on implementing algorithms.
• Conduct applied research and development in AI applications that involve computer vision, speech processing, and other related techniques.