In his previous roles, Sebastian developed innovative methods to extract meaningful information from unstructured data sources like images, chat logs, and voice notes. This work enabled companies to measure key performance indicators that were previously hard to capture, leading to better decision making and more efficient operations.
Sebastian joined Cuesta to enhance his communication skills, stay up to date with emerging technologies, and find new ways to innovate to meet clients’ needs through data analytics and modeling. He values Cuesta’s objective and unbiased approach, which aligns with his passion for delivering impactful solutions at all levels of an organization.
Sebastian holds a Bachelor’s degree in Finance with a minor in Data Science and Analytics from the University of EAFIT. Sebastian combines financial expertise with technical skills in Python, SQL, and automation. He is committed to continuous learning and staying current with advancements in his field.
Residing in Medellín, Colombia, Sebastian enjoys spending time with friends and family, reading, exercising, and playing the piano.