Christopher Gonzalez
About Christopher Gonzalez
Christopher Gonzalez serves as the Director of Data Science and Strategy at Dentologie, where he has worked since 2022. He has a diverse background in data science and analytics, with previous roles at organizations such as M&T Bank, NCSA Athletic Recruiting, and Built In.
Current Role at Dentologie
Christopher Gonzalez serves as the Director of Data Science and Strategy at Dentologie, a position he has held since 2022. In this role, he focuses on leveraging data science to inform strategic decisions and enhance operational efficiency. His work involves developing algorithms that address complex challenges and uncovering insights through mathematical analysis.
Previous Experience in Data Science
Before joining Dentologie, Christopher Gonzalez accumulated extensive experience in data science. He worked as a Senior Data Scientist at NCSA Athletic Recruiting from 2015 to 2021, where he applied his analytical skills to support recruitment strategies. He also held the position of Senior Data Scientist/Consultant at Built In for nine months in 2022-2023, contributing to various data-driven projects.
Internship and Early Career
Christopher began his career with an internship at The Financial Risk Group in 2013, where he gained foundational experience in analytics. He then worked briefly as an Analytics Consultant for the Sacramento Kings in 2014. Following this, he served as a Treasury Portfolio Analyst at M&T Bank from 2014 to 2015, further developing his analytical skills in the financial sector.
Educational Background
Christopher Gonzalez holds a Master's Degree in Computer Science from The University of Texas at Austin, which he completed from 2020 to 2022. He also earned a Master of Arts in Economics from Duke University between 2012 and 2014. His undergraduate education includes a Bachelor of Applied Science and a Bachelor of Arts in Applied Mathematics and Economics from The University of Texas at Austin, completed from 2008 to 2012.
Approach to Data Science
Christopher emphasizes a 'first principles' approach in his work, developing strategic algorithms to tackle real-world problems. He advocates for the use of data to inform decision-making and highlights the importance of empathy and collaboration with subject matter experts in the problem-solving process.