Motivated Master's in Data Science graduate with expertise in Machine Learning, Deep Learning, and Statistical Analysis. Experienced in software development and research focused on enhancing deep learning model training efficiency. Developed unique architecture utilizing vector quantization and dataset pruning methodology. Skilled at presenting complex findings at prestigious conferences (NAML 2025, NURP 2025) and publishing in IEEE ICAD. Seeking challenging machine learning opportunities to apply skills, grow expertise, and contribute to impactful projects. GitHub: https://github.com/MikeSoricelli