Ken's Nearest Neighbors  cover image

Ken's Nearest Neighbors

Hedge Funds, Startups, and Data Science Oh my! (Andrew) - KNN Ep. 14

Nov 4, 2020
37:01

In this episode I had the pleasure of speaking with Andrew from dataleap. He is data scientist and youtuber who is providing a great resource free industry education. He breaks down complex data science concepts with his own unique brand of comedy sprinkled in. You also get to enjoy some corgi time with his wonderful sidekick meatball. If you want to see Meatball, be sure to check out the full video interview here: https://www.youtube.com/watch?v=Kq9dkZu0bpg

In college, Andrew was grinding for an 80 hour a week job as a management consultant. He had never written a line of code until his junior year. During his masters when he found out about the great opportunities in data science, he was able to teach himself the skills and land a job in just six months.  Since then he's bounced around a lot of industries: from cutting edge startups, to billion dollar hedge funds and FAANG companies. Each time he swapped roles, he was able to increase his base compensation and the amount of freedom in his work.  

In this video, we will talk about how he learned the skills, how he conquered the interview process, and how maybe you can follow in his footsteps. After the interview, if you want to learn more about Andrew, check out his Youtube channel.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode