TIETOJA TÄSTÄ JAKSOSTA
In this week’s episode of Data Unlocked, Jason sits down with Kim Larsen, SVP of Business Data Science at WHOOP.
Kim has been working in the data science industry for the last two decades. He’s done consulting and data work for B2B and B2C companies all over the world, such as Uber, Stitch Fix, Charles Schwab, and more.
Today, he’s lending his expertise to WHOOP.
WHOOP is a tech company whose mission is to unlock human performance and help people reach their ultimate physical potential. They do this through services such as WHOOP APP and products like WHOOP 4.0 band.
In this episode, Kim discusses WHOOP’s work, using data to predict and model sports outcomes, the difference between sports predictions and customer predictions, and more.
Ready to learn?
Let’s dive in.
Key Takeaways:
Intro (00:00)
Meet Kim (00:43)
How sports prediction works (02:55)
Sports predictions vs customer predictions (06:48)
Guidance from Kim (19:21)
One last question (24:46)
Additional Resources:
Get in contact with Kim here.
Learn more about WHOOP here.
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