I'm a Data Scientist with a background in Computer Engineering and a Master's in Data Science. My journey into the world of data began with a solid foundation in software development, system architecture, and computational principles, which I acquired during my undergraduate studies in Computer Engineering.
I am Jaime Parada López, a passionate data scientist with expertise in deep learning and machine learning. I specialize in developing predictive models using neural networks and advanced algorithms, transforming data into actionable insights. Currently, I am a Data Scientist Intern at TheNextPangea S.L, where I explore image segmentation, research few-shot learning algorithms for defect detection, and apply machine learning techniques to enhance accuracy in image classification and segmentation.
Previously, I interned as a Software Developer at Capgemini S.A, building complete web applications using the Devonfw technology stack, Springboot, JPA, Maven, and Angular. I hold a Master's Degree in Data Science from Universidad Camilo José Cela and a Bachelor's Degree in Computer Engineering from Universidad de Castilla-La Mancha. My academic projects include predicting NBA game outcomes and comparing learning techniques for drone swarm control.
Here are some of the projects I have been involved in during my time at university.