I am a student at the Faculty of Artificial Intelligence with a strong passion for data analysis, machine learning, and problem-solving. I started my learning journey by studying Python programming, then completed a Machine Learning course at the university, where I gained knowledge in data preprocessing, model training, evaluation, and predictive analysis.
In addition, I have experience in UI/UX Design, which helped me develop creativity and improve my understanding of user-centered design principles. I also completed a specialized Machine Learning for Data Analysis course at the National Telecommunications Institute (NTI), where I worked on analyzing datasets, building machine learning models, and extracting insights from data.
I have very good experience in Machine Learning for Data Analysis, including working with libraries such as Pandas, NumPy, Matplotlib, Scikit-learn, and Seaborn. I am passionate about continuously improving my technical skills, learning new technologies, and applying AI solutions to real-world problems. I am also a fast learner, a team player, and always eager to gain practical experience through projects and internships.