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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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Coach
It should be like any other FDD case study where you receive basic financial information (e.g., Income Statement and Balance Sheet) and a prompt. You’ll likely need to be able to calculate i) reported EBITDA and NWC ii) you will then need to adjust these numbers based on the prompts provided, iii) you’ll probably have to add these schedules / adjustments to a PPT slide deck. I recommend reading your firm’s training courses on Quality of Earnings (QofE) analysis, NWC analysis, and Debt-like analysis, for practice.
Bowl Leader
Did one for them a few years ago
Sounds like getting the right info from client… like pulling teeth… okay, keep going… 😂😂😂😂
What about it do you remember?