They asked very specific questions on ML algorithms (eg, give me the three drawbacks of the PCA algorithm), without being interested in my capacity to see the bigger picture (for instance, how to put PCA in the perspective of dimensionality reduction, and how it compares to other algorithms for that purpose).
Why Nestle
Asked mostly behavioral questions like how I'd cope with deadlines and work with other teams, some simple technical questions like how long I need to sort and retrieve files.
All skills actually needed for data analytics aside, do you already know how to work with our financial products so we can get spurious analyses that are based on our existing preconceptions?
Why Golin? Why analytics? Do you have experience using data to solve a problem?
Basic puzzles
What Data Science package do you use most.
What's the market estimate of medical tourism in India in the next year?
related to case study they had given in the previous round
How do you know that the data you have loaded from source is accurate?
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