Daniel Blado
About Daniel Blado
Daniel Blado is a Senior Data Scientist at Enigma Technologies, Inc., where he has worked since 2022. He specializes in developing scalable data solutions and has extensive experience in machine learning and operations research across various industries.
Work at Enigma
Daniel Blado has been employed at Enigma Technologies, Inc. as a Senior Data Scientist since 2022. In this role, he has contributed to the development of data infrastructure and APIs aimed at automating trusted business decisions. His work focuses on creating scalable data solutions that cater to millions of users, leveraging his expertise in machine learning and operations research.
Education and Expertise
Daniel Blado holds a Doctor of Philosophy (PhD) in Algorithms, Combinatorics, and Optimization from the Georgia Institute of Technology, which he completed from 2013 to 2018. He also earned a Master of Science (MS) in Statistics from the same institution between 2015 and 2017. Additionally, he obtained a Bachelor of Science (B.S.) with Honors in Applied and Computational Mathematics from Caltech, studying there from 2009 to 2013.
Background
Before joining Enigma Technologies, Daniel Blado worked at Ford Motor Company as a Data Scientist II from 2019 to 2021 and as a Data Scientist from 2018 to 2019. He also held the position of Senior Data Scientist at Covera Health for seven months in 2022. His early career included internships at Amazon as an Operations Research Scientist Intern and at Caterpillar Parts Department as a Corporate Intern in Research and Innovation.
Achievements
Daniel Blado has developed scalable data solutions for millions of users at Ford Motor Company, focusing on machine learning and operations research. He possesses expertise in building mathematical models that are impactful and efficient, utilizing a strong foundation in operations research. His experience also includes applying data science skills in regulated environments to ensure compliance and efficiency.