Hofstra University Discussions
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Is opening a boxing gym worth it?
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
Hello fishes,
I have 8.5 year .net full stack+azure. I am having below offers
1. honeywell - 24lpa fix - advance software engineer
2. Kpmg global - 25 lpa fix +1jb -assistant manager 3. Pearson education - 27.5 lpa ( 25 fix +2.5 variable) - .net specialist
4. Smc squared 26 lpa fix + 1jb - technical lead
5. Schneider electric ( in pipeline) for staff engineer
Which ones to choose according to wlb, job security and new learning
Honeywell KPMG Schneider Electric



