Jaime Diaz Beltran
About Jaime Diaz Beltran
Jaime Diaz Beltran is the Director of Data Science at Power Digital Marketing, where he integrates artificial intelligence into marketing strategies. He holds a Master's in Data Science from Universidad Austral and has extensive experience in data science and engineering across various companies in Latin America.
Work at Power Digital Marketing
Jaime Diaz Beltran serves as the Director of Data Science at Power Digital Marketing since 2024. In this role, he has integrated artificial intelligence into marketing strategies, enhancing the company's product offerings. He focuses on leveraging advanced technologies to drive client success and improve data-driven products. His expertise in Python and applied machine learning supports the development of innovative solutions that meet client needs.
Education and Expertise
Jaime holds a Master in Data Science from Universidad Austral in Buenos Aires, which he completed in 2020. He also studied at MIT Professional Education, where he focused on Artificial Intelligence and completed a course in Data Science and Machine Learning. Additionally, he earned a Bachelor of Engineering from Pontificia Universidad Javeriana in 2015. His educational background provides a strong foundation for his expertise in data science and machine learning.
Professional Background
Jaime has a diverse professional background in data science and engineering. Before joining Power Digital Marketing, he worked at Mercado Libre as Project Lead Data Science and at Nubank as Data Science Manager. He also held positions at Mensajeros Urbanos and Siemens, where he gained experience in artificial intelligence, business analytics, and applications engineering. His roles have involved collaboration with product teams to align project scopes with stakeholder expectations.
Previous Roles and Responsibilities
Jaime's career includes significant roles across various organizations. At Mensajeros Urbanos, he served as Director of Artificial Intelligence and previously as Regional Operations Manager & Business Analytics. His tenure at Siemens included positions as Sr. Applications Engineer and Project Engineer. These roles have equipped him with a comprehensive understanding of data science applications in business contexts and operational efficiency.