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#13 Building a Data Product with a Technical and Financial Background - Jérémy Ravenel
We're excited to introduce you to our guest today Jérémy Ravenel. He is the founder of NAAS.ai">NAAS.ai, an all-in-one open source data platform based on Project Jupyter. He's a Stanford LEAD alumni with a passion for data strategy and mentoring. With over 15k subscribers, Jeremy is dedicated to democratizing data science through the use of notebooks, low-code formulas, and templates. He's currently working on developing a lean framework to help people create data products easily. Join us as we discuss his journey and insights on building a successful data platform.
In this episode you will here about:
👉 What is NAAS?
👉 From Financial Background to Building a Data Product with a Technical Perspective
👉 Moving from Excel to Data Tools
👉 Funding Considerations and Ideal Investors
👉 Building a Community Around Your Data Product
👉 Mindset for Getting Free Resources and Building an Open Source Community
👉 Installing NAAS and Infrastructure
👉 Organizing Your Team and Implementing Agile Methods
👉 Weekly and Daily Organization
👉 Using Data to Solve Environmental and Health Problems
👉 Reaching Out to Jeremie Ravenel
👉 The Message from Jeremie for the Let's Talk AI Community 🖐️
I hope that you enjoy this episode, let us know in the comments or by giving the podcast a review. Have a nice day!!
Jérémy Ravenel: https://www.linkedin.com/in/jeremyravenel/
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/
Follow Let's Talk AI:
Instagram 👉 https://www.instagram.com/lets_talk_ai/
TikTok 👉 https://www.tiktok.com/@letstalkai/
Youtube 👉 https://www.youtube.com/@lets-talk-ai
Podcast 👉 smartlink.ausha.co/let-s-talk-ai/
Blog 👉 https://lets-talk-ai.com/
Hosted on Ausha. See ausha.co/privacy-policy for more information.
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By Let's Talk AIWe're excited to introduce you to our guest today Jérémy Ravenel. He is the founder of NAAS.ai">NAAS.ai, an all-in-one open source data platform based on Project Jupyter. He's a Stanford LEAD alumni with a passion for data strategy and mentoring. With over 15k subscribers, Jeremy is dedicated to democratizing data science through the use of notebooks, low-code formulas, and templates. He's currently working on developing a lean framework to help people create data products easily. Join us as we discuss his journey and insights on building a successful data platform.
In this episode you will here about:
👉 What is NAAS?
👉 From Financial Background to Building a Data Product with a Technical Perspective
👉 Moving from Excel to Data Tools
👉 Funding Considerations and Ideal Investors
👉 Building a Community Around Your Data Product
👉 Mindset for Getting Free Resources and Building an Open Source Community
👉 Installing NAAS and Infrastructure
👉 Organizing Your Team and Implementing Agile Methods
👉 Weekly and Daily Organization
👉 Using Data to Solve Environmental and Health Problems
👉 Reaching Out to Jeremie Ravenel
👉 The Message from Jeremie for the Let's Talk AI Community 🖐️
I hope that you enjoy this episode, let us know in the comments or by giving the podcast a review. Have a nice day!!
Jérémy Ravenel: https://www.linkedin.com/in/jeremyravenel/
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/
Follow Let's Talk AI:
Instagram 👉 https://www.instagram.com/lets_talk_ai/
TikTok 👉 https://www.tiktok.com/@letstalkai/
Youtube 👉 https://www.youtube.com/@lets-talk-ai
Podcast 👉 smartlink.ausha.co/let-s-talk-ai/
Blog 👉 https://lets-talk-ai.com/
Hosted on Ausha. See ausha.co/privacy-policy for more information.