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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
View all episodes
By Data DisruptorsData 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