In the initial three years of my program, I delved into the fascinating realm of general science. This phase exposed me to a wide array of scientific disciplines, including physics, electronics, and computer science. Through rigorous coursework and hands-on experiments, I gained a solid foundation in these fields, which laid the groundwork for my future specialization. The subsequent two years of my studies focused on my passion: AI and Data. During this time, I dived deep into the intricacies of artificial intelligence and data analysis. From servers to cloud computing, from NoSQL to SQL databases, I explored various facets of the technological landscape that form the backbone of modern-day AI systems. Furthermore, I dedicated extensive time to mastering tabular machine learning, honing my skills in manipulating and analyzing structured datasets. I became well-versed in advanced concepts of computer vision, utilizing powerful frameworks like TensorFlow and PyTorch to tackle complex visual recognition problems. NLP (Natural Language Processing) also captivated my interest, as I delved into the intricacies of understanding and processing human language with the aid of AI models. Throughout my educational journey, I had the opportunity to work on numerous challenging projects with companies such as Airbus and EY as part of collaborative teams. These experiences not only enhanced my technical proficiency but also fostered my ability to solve complex problems and think critically.

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