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So you want to be a data scientist?
Misra Turp
23 episodes
5 days ago
Interviews with data scientists, data engineers, machine learning engineers and professionals in other relevant areas to data. We chat about how they ended up where they are now and what kind of projects they work on.
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All content for So you want to be a data scientist? is the property of Misra Turp and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Interviews with data scientists, data engineers, machine learning engineers and professionals in other relevant areas to data. We chat about how they ended up where they are now and what kind of projects they work on.
Show more...
Careers
Business
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#18 - An unconventional path to founding an AI Start-up with Mikiko Bazeley
So you want to be a data scientist?
29 minutes 35 seconds
4 years ago
#18 - An unconventional path to founding an AI Start-up with Mikiko Bazeley

This week on the show I have Mikiko Bazeley. She is currently busy co-founding Sidewalk.ai, an AI based solution for residential real-estate. 

Her path to founding a company hasn't been very straightforward though. She has worked in many different companies, in many different domains before she got to where she is today. Her story is a great example of trying on different things and learning from your experiences to build yourself a life and a career that fulfills you. 

We talk about sidewalk.ai, her story of becoming a data scientist, the projects she's involved with and the future of AI. Mikiko also shares her advice for aspiring data scientists on how they can turn their career around in the direction they want.

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Hands-on Data Science: Complete your first portfolio project course - https://www.soyouwanttobeadatascientist.com/hods

Data Science Kick-starter mini-course - https://www.soyouwanttobeadatascientist.com/courses/data-science-kick-starter-mini-course

So you want to be a data scientist?
Interviews with data scientists, data engineers, machine learning engineers and professionals in other relevant areas to data. We chat about how they ended up where they are now and what kind of projects they work on.