As a theoretical physicist turned data scientist, I bring a unique perspective to problem-solving, blending advanced mathematical modeling with a passion for bringing innovative and creative solutions to real-world problems. My academic background includes research at the intersection of Quantum Information and Black Hole Physics, resulting in several well-cited publications, including two in Physical Review Letters (PRL).Recognizing the transformative power of AI and big data these past few years, I recently completed an intensive Data Science bootcamp at BrainStation. This experience allowed me to develop industry-relevant tools and techniques, including but not limited to Python, SQL, pandas, scikit-learn and TensorFlow. Through hands-on projects, I sharpened my skills in making sense of complex datasets, turning abstract ideas into real-world solutions.I am particularly drawn to roles in the finance and tech sectors, where I can apply my analytical skills to tackle challenging problems, develop predictive models, and drive data-driven decision-making. My goal is to contribute meaningfully to organizations at the forefront of innovation, combining my technical skills with a commitment to impactful outcomes.