In today's episode, the super-sharp and super-technical founder Carlos Aguilar details how he's built a platform to democratize data analytics and efficiently Glean insights from across vast data warehouses 📊

Carlos:
• Is Founder and CEO of Glean, a New York-based start-up that has raised $7m in venture capital to democratize data analytics and data insights.
• Spent six years as the VP of Data Insights Engineering at Flatiron Health, a cancer data platform that was acquired by Swiss pharma giant Roche.
• Spent five years engineering robots at Amazon.
• Holds Master’s in mechanical and aerospace engineering from Cornell University.

Today’s episode includes some technical content near the beginning that will appeal most to data science and software engineering practitioners, but we do break down the main takeaways from those technical discussions so that any interested listener can partake. The remainder of the episode will appeal to anyone who’s keen to hear from an extremely intelligent technical founder on how to successfully launch a data-centric start-up.

In this episode, Carlos details:
• The software stack Glean built their platform with to enable their customers to quickly obtain slick data visualizations and insights from their vast data warehouses.
• How to grow an entrepreneurial idea into an investable company.
• The essential characteristics to look for in your founding team.
• How to ensure your early clients are continuously delighted by your evolving software platform.
• How he used genetic algorithms to enable a robotic arm to paint beautiful, creative art onto real-world canvases 🎨

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.