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How to Crush Your Interviews | Alex Lim
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When? This feed was archived on February 26, 2024 18:29 (). Last successful fetch was on December 04, 2022 06:32 ()
Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 258658620 series 2652351
A mock interview with a rising star of our industry.
Join the FREE open Slack mastermind community where I'll answer questions and keep you posted on bi-weekly office hours: https://bit.ly/artistsofdatascience
Follow the show in Twitter: @ArtistsOfData, on IG: @TheArtistsOfDataScience, on FB: facebook.com/TheArtistsOfDataScience, and on LinkedIn!
[02:33] The introduction for the episode and our guest today
[04:23] Alex tells us about the path that led him to data science and machine learning as a career choice
[05:22] Alex tells us about the inspiration behind one of this data science projects
[06:46] He then walks us through the plan of attack for coming up with a strategy for executing on his project.
[07:48] Alex goes into detail about struggles he had to face kind of sourcing data, organizing his thoughts, the project structure, how he overcome these challenges
[08:47] He walk us through his post application protocol for getting interviews
[09:51] Some tips on how to find the right people in an organization to reach out to
[11:10] Alex goes through, in detail, the challenges he faced in the job search, how many interviews he went on, and how he kept his head right during rejections.
[13:13] Alex shares some books and some advice for cultivating the right mindset to navigate you through the job search ups and downs.
[14:23] We start off the mock interview portion with the first question usually asked in an interview: Tell me about yourself.
[15:50] Can you describe a time when you had to deal with competing priorities or competing deadlines?
[16:42] What would you say is the most difficult type of person to deal with and how do you deal with that type of person?
[17:50] Can you walk me through your discovery process when you're starting a new project?
[19:10] Alex tells us the formula he uses to come up with such well crafted responses to commonly asked interview questions
[21:04] Alex talks to us about his process for coming up with questions to ask during an interview
[21:56] The one thing Alex wants us to learn from his story
[22:31] Jumping into the lightning round:Python or R?
[22:44] What's a book every data scientist should read?
[23:00] His favorite question to ask the interviewer in a job interview?
[23:40] His view on certifications and self-directed learning
[24:15] Alex let's us know how we can connect with him and where we can find him online
Special Guest: Alex Lim.
274 episodes
Archived series ("Inactive feed" status)
When? This feed was archived on February 26, 2024 18:29 (). Last successful fetch was on December 04, 2022 06:32 ()
Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 258658620 series 2652351
A mock interview with a rising star of our industry.
Join the FREE open Slack mastermind community where I'll answer questions and keep you posted on bi-weekly office hours: https://bit.ly/artistsofdatascience
Follow the show in Twitter: @ArtistsOfData, on IG: @TheArtistsOfDataScience, on FB: facebook.com/TheArtistsOfDataScience, and on LinkedIn!
[02:33] The introduction for the episode and our guest today
[04:23] Alex tells us about the path that led him to data science and machine learning as a career choice
[05:22] Alex tells us about the inspiration behind one of this data science projects
[06:46] He then walks us through the plan of attack for coming up with a strategy for executing on his project.
[07:48] Alex goes into detail about struggles he had to face kind of sourcing data, organizing his thoughts, the project structure, how he overcome these challenges
[08:47] He walk us through his post application protocol for getting interviews
[09:51] Some tips on how to find the right people in an organization to reach out to
[11:10] Alex goes through, in detail, the challenges he faced in the job search, how many interviews he went on, and how he kept his head right during rejections.
[13:13] Alex shares some books and some advice for cultivating the right mindset to navigate you through the job search ups and downs.
[14:23] We start off the mock interview portion with the first question usually asked in an interview: Tell me about yourself.
[15:50] Can you describe a time when you had to deal with competing priorities or competing deadlines?
[16:42] What would you say is the most difficult type of person to deal with and how do you deal with that type of person?
[17:50] Can you walk me through your discovery process when you're starting a new project?
[19:10] Alex tells us the formula he uses to come up with such well crafted responses to commonly asked interview questions
[21:04] Alex talks to us about his process for coming up with questions to ask during an interview
[21:56] The one thing Alex wants us to learn from his story
[22:31] Jumping into the lightning round:Python or R?
[22:44] What's a book every data scientist should read?
[23:00] His favorite question to ask the interviewer in a job interview?
[23:40] His view on certifications and self-directed learning
[24:15] Alex let's us know how we can connect with him and where we can find him online
Special Guest: Alex Lim.
274 episodes
All episodes
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