Whoop's Carlos Peralta on Building a Data-Driven Culture at Whoop and Moderna: Collaboration and Alignment

Data Disruptors - A Podcast for Data Leaders. Listen to Carlos Peralta, Whoop Data Leaders disrupting technologies giving the company access to cutting-edge insights on Building a Data-Driven Culture at Whoop and Moderna: Collaboration and Alignment. In this episode, Tomer Shiran interviews Carlos Peralta, MLOps & Data Eng Global Director, WHOOP discusses his experience building data platforms and driving a data-driven culture. He emphasizes the importance of collaboration between technical teams and business stakeholders, as well as the need for data quality and integrity. Carlos also highlights the challenges of model interpretability and fairness, as well as automated feature engineering and data preparation. He shares his career advice, including the importance of communication and continuous learning. Takeaways • Collaboration between technical teams and business stakeholders is crucial for building a data-driven culture and achieving meaningful business outcomes. • Data quality and integrity are persistent challenges that require smarter data validation tools and automation. • Model interpretability and fairness are important considerations, especially in sensitive industries, and there is a need for transparent and explainable AI frameworks. • Automated feature engineering and data preparation can accelerate the model development lifecycle and allow data scientists to focus on innovation. • Career advice includes prioritizing communication, understanding strategic goals, and embracing continuous learning. Chapters 00:00 - Introduction and Background 45:00 - Building a Data Platform at Moderna 12:26:00 - Transition to Whoop and ML Ops 24:05:00 - Reducing Costs and Controlling Costs 26:11:00 - Career Advice and Lessons Learned 29:45:00 - Challenges and Opportunities in the Data Space Take the Dremio Platform for a free test-drive: https://www.dremio.com/test-drive