Highly motivated and graduate (2022) in Medical Electronics with a passion for harnessing the power of data to drive meaningful insights and solutions. Equipped with a comprehensive two-month intensive course in Data Science that led to a 30% improvement in predictive modeling accuracy. Complemented by a hands-on internship in the field, applying statistical analysis and programming skills to enhance process efficiency, resulting in a reduction of data processing time from 6 hours to 1 hour. Seeking to leverage academic knowledge, practical training, and a strong enthusiasm for data-driven problem-solving to contribute effectively as a Data Scientist and make valuable contributions to the field.