Rachel Schutt

About the Author

Rachel Schutt is a pioneering data scientist and educator whose work bridges the gap between theoretical knowledge and practical application in the rapidly evolving field of data science. With a PhD in applied mathematics from Columbia University and a background that includes roles at Google and the New York City Department of Health, she has dedicated her career to demystifying complex data concepts for professionals and students alike. As the former head of data science at News Corp, Schutt has influenced countless initiatives in machine learning and predictive analytics. Her passion for accessible education shines through in her teaching at Columbia, where she empowers the next generation of data practitioners. Through her writing and mentorship, Schutt continues to advocate for ethical data practices and innovative problem-solving in an data-driven world.