Somewhat Analytics Parker Rogers and Kaustav Mitra

Marco Altini, thanks for joining us on the Somewhat Analytics Podcast!

Marco has a PHD in data science, he's the founder of HRV4Training, and he's a data-driven endurance athlete

We stumbled upon Marco via a simple google search: “in-depth data analysis of personal physical activity”

In this conversation, you'll learn about:

- The data science work that Marco does for Oura and HRV4Training
- What he's learned from years of analyzing his physical and mental health
- How his app, HRV4 training, can help athletes better understand their athletic - performance, prevent over training, and reduce stressors
- Data science and analytics techniques he's uses to measure physical activity

Jacob Matson (Product @ Simetric)  is well know in the data world for his expertise in dbt development, excel, and fun side projects like “MDS-in-a-box”, and “nba-monte carlo”. 
In this episode, Jacob shares:
- “MDS-in-a-box” - What’s this fast, free, open-source modern data stack you’ve been building?
- DuckDB, what’s all the fuss about?
- How are you analyzing/prediction outcomes of the 2023-34 NBA season?
- What project would you like to build in the future? Find the podcast on all platforms!

In this episode, we’re chatting with Gabi Steele, the co-founder and CEO of Preql. 
In a nutshell, PREQL is a no code tool for business users to define and manage metrics. There’s a lot to unpack here, and Gabi will teach us all about it.
She got a fascinating background that spans from painting, design, doing data viz at The Washington Post, teaching at Universities, building communities, managing data teams at WeWork, and co-founding various companies.
Needless to say, we’re excited to dive into it all! 

https://www.linkedin.com/in/gabriellasteele/
https://www.preql.com/

In this week's episode, we are chatting with Tommy Dang, the co-founder and and CEO of Mage. For those that aren’t familiar, Mage is an open-source data pipeline tool for transforming and integrating data.

Tommy has a bachelor’s in Economics from Cal Berkley, but a software engineer by trade. He kicked off his career working at AirBnB as a software engineer and data engineer for 5 years before starting Mage. 

Want to know his "crystal ball" predictions for the data industry in 2024?  Then you better tune in. 

https://www.linkedin.com/in/dangtommy/
https://www.mage.ai/

Need to be reminded of why working with data is fun? Tune into the new episode of Somewhat Analytics - The Podcast.

This weeks guest is John Chen, an ML engineer at Meta and an aspiring NBA GM 🏀 In this short snippet, John explains a couple high-value metrics for NBA players (RAPM, Predicted RAPM).

... and it's Parker Rogers and Kaustav Mitra's first video pod, so check it out on YouTube: https://lnkd.in/e4tFNtqH

If you'd like to learn more from John, check out his Medium Blog -> https://medium.com/@johnchenmbb

Need to be reminded of why working with data is fun? Tune into the new episode of Somewhat Analytics - The Podcast.

This weeks guest is John Chen, an ML engineer at Meta and an aspiring NBA GM 🏀 In this short snippet, John explains a couple high-value metrics for NBA players (RAPM, Predicted RAPM).

... and it's Parker Rogers and Kaustav Mitra's first video pod, so check it out on YouTube.

YouTube: https://lnkd.in/e4tFNtqH

If you'd like to learn more from John, check out his Medium Blog -> https://medium.com/@johnchenmbb