With a master's degree in électronique, électrotechnique automatique from Faculté des Sciences Mathématiques, Physiques et Naturelles de Tunis, I have a strong foundation in data science and machine learning, especially in the domain of cardiovascular health. I have applied my skills and knowledge to various projects involving complex and diverse datasets, such as ECG, PCG, PPG, and accelerometer data. In my most recent role as a Data Scientist at Acorai, I developed a comprehensive Python package for analyzing and extracting features from cardiac sensor data, and enhanced the signal quality using a convolutional neural network. I also led a data analysis team in collaboration with four prestigious institutions, where I performed statistical and frequency analyses of ECG and PCG data, and co-authored an article in a reputable journal. I am proficient in Python, SQL, R, C, C++, TensorFlow, PyTorch, Keras, MongoDB, and Google Colab, and I can create compelling visualizations and reports for diverse audiences. I am also multilingual, fluent in Arabic, French, English, and intermediate in Norwegian, German, and Korean.