Daniel Suarez Souto
About Daniel Suarez Souto
Daniel Suarez Souto is a Data Science Engineer Level 2 currently employed at CCC Information Services in Chicago, Illinois. He has a background in data science and machine learning, with previous positions at CCC Information Services and Intelligent Systems Group in both the United States and Spain.
Current Role as Data Science Engineer Level 2
Daniel Suarez Souto currently holds the position of Data Science Engineer Level 2 at CCC Intelligent Solutions. He has been in this role since 2021 and is based in Chicago, Illinois, United States. In this capacity, he applies his expertise in data science to develop and implement data-driven solutions that enhance operational efficiency and decision-making processes.
Previous Experience at CCC Information Services
Prior to his current role, Daniel worked at CCC Information Services as a Data Scientist for five months in 2020. He also served as a Data Science Engineer for one month in 2021. His tenure at CCC Information Services allowed him to gain valuable experience in data analysis and machine learning applications within the organization.
Experience at Intelligent Systems Group
Daniel has previous experience at Intelligent Systems Group, where he worked as a Machine Learning Engineer for nine months in 2018. He also served as a Research Assistant for one year from 2017 to 2018. His roles involved developing machine learning models and conducting research, contributing to advancements in the field of artificial intelligence.
Educational Background in Engineering and Computer Science
Daniel studied at Universidad Politécnica de Madrid, where he earned a Bachelor of Engineering in Telecommunication Technologies and Services with a GPA of 3.6 from 2014 to 2018. He continued his education at the same institution, achieving a Master in Telecommunication Engineering (Bilingual) from 2018 to 2020. Additionally, he obtained a Master of Computer Science with a specialization in Computational Intelligence from Illinois Institute of Technology, achieving a GPA of 4.0 from 2019 to 2020.