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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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/
Sunayana Gutta, Senior Financial Analyst at General Motors, shares a detailed account of what it's like to work in Corporate Finance - from examples of projects to her typical day to her advice for interested candidates.
Sunayana has an MBA from Kellogg School of Management.
Some of the areas that Sunayana touches upon in this episode include:
1. How Sunayna tried various functions such as VC and Investment Banking, and why she decided to get into Corporate Finance
2. What does someone in Corporate Finance do
3. Examples of projects someone in Corporate Finance works on
4. Type of teams found within Corp Finance generally. Eg: Forex team, Capital Management team, Treasury team, etc.
5. Examples of things someone in Finance thinks about when making decisions
6. How companies generally have a generalist or specialist approach towards staffing Corp Finance, and how it's important to know about this before joining the company
7. Why Sunayna enjoys working in Corp Finance, and elements she finds challenging
8. Resources - CFO Magazine - http://ww2.cfo.com/source/cfo-magazine/, Annual Reports MD&A section, Ashwat Damodaran Blog (professor at Yale) - http://aswathdamodaran.blogspot.com/
Thank you for listening!!
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/
