I am an aspiring Data Scientist with hands-on experience in building machine learning solutions, combining a strong foundation in Computer Engineering with recently completed specialized training in Data Science. My technical expertise centers on Python and its data science ecosystem, including NumPy, Pandas, and Scikit-learn, complemented by extensive experience in data preprocessing and visualization using Matplotlib and Seaborn.

With a robust foundation in statistical analysis and machine learning algorithms, I have developed a particular interest in financial applications of data science. I continuously expand my technical knowledge through practical projects and staying current with emerging technologies in the field. Currently, I am seeking opportunities to apply my skills in a challenging data scientist role where I can contribute to meaningful projects while growing professionally.