As an experienced and innovative data scientist with over 3 years of expertise, I have been dedicated to helping businesses unlock the full potential of their data to drive growth, optimize operations, and improve decision-making. My background in mathematics, computational science and technology has provided me with a unique perspective on leveraging data-driven solutions to tackle real-world challenges. After completing my Master’s degree in Computational Science, I laid the foundation for my passion for artificial intelligence, machine learning, and data analysis. Since then, I have honed my skills across various sectors, including a stint at KPMG’s Digital Assurance and Innovation team, where I contributed to the development of cutting-edge solutions. Currently, at Danube Tech in Vienna, I have been analyzing data related to decentralized digital identities on a global scale, developing and implementing user interface and writing API tests for various projects and applications, as well as establishing an infrastructure to resolve decentralized identifiers (DIDs) over the DIDComm protocol. These experiences have allowed me to further expand my knowledge and skills in the field. As a lifelong learner, I am committed to staying current with the latest trends and technologies in data science. I enjoy collaborating with like-minded professionals to solve complex problems and create lasting value for organizations.