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Hi Fishes
I would like to know about the client interviews (especially in data science or machine learning roles).
Are these interviews tough?
Are these interviews meant to assess technical knowledge? For example, what is binomial distribution, what are different data structures in python, ml algorithms etc.
I would request each of the nagarrians to share their thoughts irrespective of the technologies you are working.
I am thankful to you for taking time and helping me out.
Nagarro
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McKinsey & Company Any advice to help prepare for data science analyst role at top consulting firms (McKinsey & Company EY Boston Consulting Group etc)? Any materials, open source platform recommended to take on freelance data science project? When should I start actively looking and applying? I am a new grad who is working in tech as a marketing analyst I’m looking to pivot to marketing& sales data science consulting next year. Would like someone with similar backgrounds offer some practical tips.
Hello! Question for anyone that works at Google if I have hit my 3 applications per 90 days can I still apply to an additional role through a referral link? Or will I have to wait until the 90 days is up? Actually asking for a friend that doesn’t have this app 😊 thanks in advance for any insight.
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Have you been able to pinpoint the aspects of interviewing that are causing the issue? I know I can usually tell just by watching changes in the interviewer's expressions.
I'd highly suggest going for it. They may be able to point out and help you understand where you need to make changes. I've only heard good things
I would go for it tbh if it's getting to that many interviews. Has there been any feedback at all that could be used?
I think it's best to hire a resume writer/headhunter instead.