Pablo Maceda
About Pablo Maceda
Pablo Maceda is a Software Engineer II at SpyCloud, specializing in machine learning and data visualization. He holds a Bachelor of Science in Bioengineering and a certification in Data Analytics and Visualization from The University of Texas at Austin.
Work at SpyCloud
Pablo Maceda has been employed at SpyCloud as a Software Engineer II since 2019. In this role, he develops flexible and responsive machine learning models. His work focuses on creating data visualizations that effectively communicate insights, contributing to the company's mission of enhancing cybersecurity through data-driven solutions.
Education and Expertise
Pablo Maceda studied at The University of Texas at Austin, where he earned a Bachelor of Science (B.S.) in Bioengineering and Biomedical Engineering from 2012 to 2017. He furthered his education by obtaining a Data Analytics and Visualization Certification in Data Engineering from 2018 to 2019. His academic background supports his multidisciplinary approach to engineering, combining data engineering skills with storytelling through data.
Background
Pablo Maceda has a diverse professional background, including experience in quality engineering and project management. He worked as a Quality Engineering Intern at Apollo Endosurgery for five months in 2016. In 2017, he served as an International Project Management intern at EMERGO for four months. Additionally, he was an Orientation Advisor at The University of Texas at Austin for three months in 2013.
Current Role at Molecular Templates
In addition to his position at SpyCloud, Pablo Maceda has been working as a Research Associate at Molecular Templates since 2018. His role involves applying his engineering and analytical skills within the research environment, contributing to the development of innovative solutions in the biotechnology sector.
Passion for Data-Driven Solutions
Pablo Maceda is passionate about building data-driven solutions that narrate compelling stories. His expertise in data visualization and machine learning allows him to create impactful insights that aid decision-making processes in various projects.