Ryan Henkel

Background

About Ryan Henkel

As a dedicated Data Labeling Analyst at Meta via Magnit, I oversee the quality auditing of data used to train AI machines and in ensuring top-tier data standards through effective vendor communication across multiple projects. My academic foundation is rooted in a Bachelor’s degree in Business Administration from Cal Poly, San Luis Obispo. This education equipped me with a robust understanding of business principles, analytical thinking, and strategic decision-making, which I leverage daily in my role to enhance data quality and operational efficiency. My journey in data began with a certificate in Data Science and Visualization from UC San Diego edX, where I mastered technical skills in Python and SQL, refined my ability to tell stories through data, and realized the transformative power of machine learning, data, and AI. In my current position, I combine my technical skills and business acumen to drive data excellence. By managing vendor relationships and overseeing data audits, I ensure that the data we use meets the highest standards, ultimately contributing to the advancement of Meta's AI software. I am passionate about AI and its potential to revolutionize the world for the better, and I am committed to continuous growth and learning in this ever-evolving field. My goal is to harness the power of data to drive innovation and create impactful solutions.