Stephanie Rivera

About the Author

Stephanie Rivera is a seasoned data scientist and machine learning enthusiast with over a decade of experience in leveraging cutting-edge technologies to drive innovation in the tech industry. Holding a Master's degree in Computer Science from Stanford University, she has worked at leading Silicon Valley firms, where she specialized in building scalable ML pipelines and deploying models that deliver real-world impact. As an author, Stephanie demystifies complex concepts for practitioners and newcomers alike, drawing from her hands-on expertise in data platforms. Her debut book, 'Databricks ML in Action: Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment,' has been praised for its practical approach and clear guidance on end-to-end ML workflows. When not writing or coding, Stephanie enjoys mentoring aspiring data professionals and exploring the intersection of AI and ethics.