David W.
About David W.
David W. serves as the Head of Product Data Science & Analytics at Chainlink Labs, where he focuses on innovative data solutions. He has a diverse background in data analytics and engineering, with previous roles at companies such as Meta, ZeniMax Media, and PwC.
Current Role at Chainlink Labs
David W. serves as the Head of Product Data Science & Analytics at Chainlink Labs, a position he has held since 2022. In this role, he focuses on developing innovative data solutions and leveraging his expertise in blockchain analytics. His leadership in product data science and analytics aims to enhance the company's data-driven decision-making processes.
Previous Experience in Data Analytics
Before joining Chainlink Labs, David W. accumulated significant experience in data analytics across various organizations. He worked at Meta as a Data Engineering Manager from 2018 to 2022, where he managed data engineering projects. Prior to that, he was the Associate Director of Data Analytics and BI at ZeniMax Media from 2014 to 2018, contributing to the company's data strategy. His career also includes a role as a Senior Associate at PwC from 2011 to 2014.
Teaching Experience at American University
David W. served as an Adjunct Professor at American University for a period of seven months in 2017 to 2018. In this role, he shared his knowledge and expertise in data analytics with students, contributing to their academic development and understanding of the field.
Education and Expertise
David W. holds a Bachelor’s degree in Chemical Engineering from Rensselaer Polytechnic Institute, which he completed from 2004 to 2008. He furthered his education by obtaining a Master of Business Administration (MBA) in Corporate Finance from IE Business School in 2014. His educational background supports his expertise in building blockchain analytics solutions and tackling complex measurement problems through data engineering.
Professional Background
David W. has a diverse professional background that includes roles in consulting and academia. He began his career as a Systems Integration Consulting Analyst at Accenture from 2010 to 2011. His experience spans various sectors, including technology, media, and education, providing him with a comprehensive understanding of data science and analytics.