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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
Hi 😊 please like to enable DM
Anyone out in Philly? 25 M Here
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Broadly, I'd suggest considering how you publicly represent the brand.
Advocating is about representing with tone of voice, key messaging, knowing what the organisation stands for and what their policy standpoints are.
It's also about being a spokesperson for the brand, communicating decisions or responses, and holding the line if people challenge or push back.
Imagine holding a shield with your brand logo and having your organisation's hat (mindset) on when you communicate.
It's as much about mindset as it is messaging. Hope this helps