I am an aspiring Data Scientist, AI Engineer, or Data Engineer. I have a strong passion about writing code, especially in Python and SQL, and I am looking forward to apply these technical skills in areas such as data analysis, machine learning, computer vision, signal processing, and deep learning.I hold a Master of Science in Biomedical Engineering from the University of Bologna, where I first built machine learning and deep learning models. My thesis focused on analyzing EEG signals recorded during motor tasks. I created a Python-based pipeline for data preprocessing and trained a deep learning model to classify task directions, achieving around 65% accuracy.Following my degree, I attended the Data Science Academy by Experis – Manpower Group. This experience deepened my knowledge of data science technologies and enhanced my skills in SQL, Microsoft Power BI, Python, PySpark, and Object-Oriented Programming.In my role as an Offering Specialist at Hera Comm, I created and managed energy proposals materials, ensuring they met industry standards. I used SQL to extract and analyze customer datasets and occasionally used PySpark to speed up data processing times. Additionally, I automated recurring tasks using KNIME and Microsoft Power Query in Excel.I am seeking opportunities to apply my skills in fields like biomedical sciences, neurotechnology, aerospace, and consulting, where data can drive innovation, improve decision-making and have an impact on people’s lives.Technical Skills: Python (NumPy, Pandas, scikit-learn, TensorFlow), SQL, MATLAB, PySpark, Azure DataBricks, Machine Learning, Deep Learning, CNNs, Classification and Clustering algorithms, KNIME, Microsoft Excel, Microsoft Power BI, Object-Oriented Programming.I am fluent in Italian (native) and English (advanced).Feel free to connect via LinkedIn or contact me directly at fedepiras95@gmail.com