Yohannes Azeze

Senior Data Scientist @ EverQuote

About Yohannes Azeze

Yohannes Azeze is a Senior Data Scientist with extensive experience in handling both structured and unstructured data. He has worked at various organizations, including Cramer-Krasselt and EverQuote, and possesses expertise in Natural Language Processing algorithms.

Work at EverQuote

Yohannes Azeze has been employed at EverQuote as a Senior Data Scientist since 2022. In this role, he applies his expertise in data science to analyze complex data sets and develop solutions that enhance business operations. His work involves leveraging advanced analytics and machine learning techniques to drive decision-making processes within the organization.

Previous Experience in Data Science

Before joining EverQuote, Yohannes Azeze worked as a Data Scientist at Cramer-Krasselt from 2019 to 2022, where he focused on analyzing both structured and unstructured data to inform marketing strategies. He also served as a Research Analyst in Data Science at the Illinois Institute of Technology from 2013 to 2014, and as an Intern - Data Scientist at the Rehabilitation Institute of Chicago in 2013. His diverse experience spans multiple industries and roles.

Education and Expertise

Yohannes Azeze holds a Master's degree in Electrical and Computer Engineering from the University of Illinois at Chicago, which he completed from 2016 to 2018. He also earned a Bachelor of Science in Biomedical/Medical Engineering from the Illinois Institute of Technology from 2011 to 2014, and a Bachelor of Science in Computer Science from Addis Ababa University from 2003 to 2007. His educational background supports his proficiency in implementing Natural Language Processing algorithms and strong programming skills in MATLAB, Python, and SQL.

Consulting Experience

In addition to his data science roles, Yohannes Azeze has over three years of consulting experience. He worked as a Consultant Engineer II at FM Global from 2014 to 2017, where he applied his analytical skills to engineering challenges. This experience complements his data science expertise, allowing him to approach problems from both technical and business perspectives.

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