1. Tell me about yourself. 2. Detailed discussion on M.Tech. Project. 3. Brief discussion over current company role and project. 4. You are directly communicating to customer and he/she need change in last minute what will you do? and what are the steps you take, suppose new customer assign to you and he/she need any AI project to be done in short period of time and you know it might take extra time as per deadline? 5. Are you comfortable to learn new technology? 6.Why you are leaving your current organization? 7. 2-3 coding question related to python. 8. Do you have any experience on PowerBI? Total 45 minute interview was there.Most of the Data Science questions were covered in my project (image captioning) itself (Deep learning and NLP). Question are like why are you using filter, what is the dimension of filter, why are you using merge technique or is there any other technique can be utilised. What the techniques you know in NLP? Why bag of words are used and what are the demerits? According to you which one are best among all NLP techniques ?

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Accenture Data Science Analyst Interview Questions
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