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>> How could we use the models used in pharmaceutical sales ad marketing analytics in retail industry? >> What are the additional factors one needs to account for while reusing the models in some other domain? >> How can we forecast when a retail store will face an understocking problem? What data will be needed and how will you plan to build the model? Feedback (if any): Learning (if any): There were many points in which he interviewer had a different point of view from mine. He said, I was thinking of it from this point of view, but let's move on. I replied, before we move on, can we discuss your approach in detail, will help me learn more. We discussed both our approaches and concluded that his and my ideas combinedly will produce best results. Show the interviewers your interest in learning and geting the best outcome instead of just answering and getting done with it. Round 2: # of Panelists: 2 Type of Interview: Technical+ PI Personality Interview Description: General PI, focused on what I knew about the role Case Interview Description (if Any): A lot of small caselets, puzzles, guesstimates, brainteasers. >>Guesstimate the number of cockroaches in both the campuses Was asked to begin with Mohali Campus, since placements were being held over there, and extrapolate to Hyderabad.
207Started with the places where one can find cockroaches and classified into high frequency and low frequency places High Freq-> Kitchen and Washrooms Low Freq-> rooms and Gardens Was told to focus on category 1 Then went on to calculate number of kitchens, washrooms, then based on some assumptions, number of cockroach sightings and then number of cockroaches in each. Scaled up the number for the low freq category. Scaled down the number for overlap of cockroaches in sightings at different places. Was asked what are the factors that need to be taken into account for extrapolating it to Hyd Campus Answered-> Size of campus, Geographical factors and climatic factors leading to different Cockroach Density etc >>Assume there 1000 people. In order to calculate what is the probablity of 2 people having same number of hair, what will you need, mean or variance? (Assume normal distribution and relax the assumption of continuous distribution) >> You have 8 identical looking balls (plastic), one of them has different weight (could be higher or lower). You have a weighing scale which can compare weights (2 sided weighing scale). Whats the minimum number of times you need to weigh to tell which ball has different weight. Feedback (if any): Learning (if any): We were laughing, enjoying and having fun all thrughout the interview. The interviewer wanted to make it fun, (He kept on joking on his hairfall problem when he gave me the hair puzzle) and I kept on complimenting the joke, by telling him that solving puzzles might not help with that problem though. Make the process a conversation.