As a recently graduated Data Scientist from the National Engineering School of Gabes, I am passionate about the fields of Data Engineering and IoT. My academic journey has equipped me with a robust foundation in various technical domains, particularly through comprehensive coursework in AI, machine learning, and advanced mathematics, which honed my skills in data engineering.Armed with a deep-seated passion for Artificial Intelligence, I possess a robust understanding of Machine Learning concepts. I excel in identifying, comprehending, and converting program requirements into innovative, sustainable solutions via Python and MATLAB. Practical experience in data preprocessing and data visualization has enabled me to generate key insights critically.Additionally, my experience in modelisation classes has been instrumental in developing my proficiency in data modeling. My expertise extends to embedded systems, where I have gained a solid understanding of communication protocols and hands-on experience with various electronic boards, including Raspberry Pi and Arduino.My familiarity with powerful Python libraries spans OpenCV, Sklearn, TensorFlow, Keras, NumPy, Pandas, Matplotlib, seaborn, NLTK, and spaCy.Driven by a curiosity for innovative technology and a commitment to continuous learning, I am eager to contribute to projects that intersect data engineering and IoT, leveraging my background to create impactful solutions.