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Learn Educate Discover
Sonali Mangal
128 episodes
3 months ago
How do you prepare for Data Science interviews in Tech? What are the components of the interview and what resources should you use? What do Hiring Managers look for in a candidate? And what's the point of behavioral questions in a data science interview? Find out answers to all of the above and more in this discussion with Nick Singh, Author of Ace the Data Science interview and former data scientist and engineer at Google and Facebook, and Roy Keyes, Author of Hiring Data Scientists and ML Engineers. Thanks for listening! You can subscribe to our newsletter on our website at www.learneducatediscover.com/ You can email us at hello@learneducatediscover.com Follow us on Twitter @LED_Curator Nick's book Ace the Data Science interview: https://www.acethedatascienceinterview.com/ Roy's book Hiring Data Scientists and Machine Learning Engineers: https://dshiring.com/
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Business
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All content for Learn Educate Discover is the property of Sonali Mangal 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.
How do you prepare for Data Science interviews in Tech? What are the components of the interview and what resources should you use? What do Hiring Managers look for in a candidate? And what's the point of behavioral questions in a data science interview? Find out answers to all of the above and more in this discussion with Nick Singh, Author of Ace the Data Science interview and former data scientist and engineer at Google and Facebook, and Roy Keyes, Author of Hiring Data Scientists and ML Engineers. Thanks for listening! You can subscribe to our newsletter on our website at www.learneducatediscover.com/ You can email us at hello@learneducatediscover.com Follow us on Twitter @LED_Curator Nick's book Ace the Data Science interview: https://www.acethedatascienceinterview.com/ Roy's book Hiring Data Scientists and Machine Learning Engineers: https://dshiring.com/
Show more...
Business
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Ep 116: Alumni Relations, Tracey Pavlishin, Director Alumni Engagement @A.T. Kearney
Learn Educate Discover
55 minutes 30 seconds
6 years ago
Ep 116: Alumni Relations, Tracey Pavlishin, Director Alumni Engagement @A.T. Kearney
Tracey Pavlishin, Director of Global Internal Communications and Alumni Engagement at A.T. Kearney, shares a detailed account of working in Alumni Relations. Tracey has over 10 years of experience in this space. She has an MBA from Chicago Booth School of Business. Some of the areas that Tracey touches upon include: 1. What got Tracey interested in working in Alumni Relations 2. Examples of projects Tracey works on 3. How someone in Alumni Relations defines success 4. Why organizations invest in Alumni Relations 5. The kind of exit paths Alumni Relations opens up 6. Interesting and not-so-interesting aspects of the job 7. Resources for interested candidates Follow the show on Twitter @LED_Curator Website www.learneducatediscover.com/ Like us on FaceBook at www.facebook.com/learneducatediscover/ Email us at hello@learneducatediscover. We will reply!! Subscribe to the show on iTunes itunes.apple.com/us/podcast/learn…ver/id1049159321
Learn Educate Discover
How do you prepare for Data Science interviews in Tech? What are the components of the interview and what resources should you use? What do Hiring Managers look for in a candidate? And what's the point of behavioral questions in a data science interview? Find out answers to all of the above and more in this discussion with Nick Singh, Author of Ace the Data Science interview and former data scientist and engineer at Google and Facebook, and Roy Keyes, Author of Hiring Data Scientists and ML Engineers. Thanks for listening! You can subscribe to our newsletter on our website at www.learneducatediscover.com/ You can email us at hello@learneducatediscover.com Follow us on Twitter @LED_Curator Nick's book Ace the Data Science interview: https://www.acethedatascienceinterview.com/ Roy's book Hiring Data Scientists and Machine Learning Engineers: https://dshiring.com/