Daniel Blado

Daniel Blado has a diverse work experience in the field of data science and research. Daniel currently works as a Senior Data Scientist at Enigma Technologies, Inc. where they focus on building data infrastructure and developer-friendly APIs for business risk assessment. Previously, they worked as a Senior Data Scientist at Covera Health and Ford Motor Company, where they utilized their expertise in data analysis and research to drive impactful projects. Daniel also served as a Data Scientist at Ford Motor Company and conducted research as a Research Assistant at Georgia Institute of Technology, specializing in algorithms, combinatorics, and optimization. In addition, Daniel gained experience as an Operations Research Consultant - Intern at Revenue Analytics, Inc. and as an Operations Research Scientist Intern at Amazon. Daniel started their career as a Corporate Intern - Research and Innovation at Caterpillar Parts Department.

Daniel Blado completed their education at multiple prestigious institutions. Daniel began their academic journey at Caltech in 2009, where they pursued a Bachelor of Science (B.S.) degree with Honors in Applied and Computational Mathematics. After graduating in 2013, they continued their pursuit of knowledge by enrolling at the Georgia Institute of Technology. From 2013 to 2018, Daniel pursued a Doctor of Philosophy (Ph.D.) degree in Algorithms, Combinatorics, and Optimization. During their time at Georgia Tech, they also focused on expanding their expertise in the field of Statistics, earning a Master of Science (M.S.) degree from 2015 to 2017. Daniel Blado's educational background showcases their dedication to quantitative disciplines and their commitment to furthering their knowledge and skills in these areas.