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[Technical] Given 3 (x,y) points forming a triangle, how would you determine (mathematically) if a 4th (x,y) point was within the triangle or not? (Note: this question was specifically geared to judge problem solving with a difficult problem, not knowledge of geometry, and the interviewer was working with me a lot because of that.)
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AI Development Acceleration Program

Interviewed at Microsoft

4★
Dec 1, 2018

[Technical] Given 3 (x,y) points forming a triangle, how would you determine (mathematically) if a 4th (x,y) point was within the triangle or not? (Note: this question was specifically geared to judge problem solving with a difficult problem, not knowledge of geometry, and the interviewer was working with me a lot because of that.)

1. 30 minute behavioral, 30 minute technical. Behavioral interviewer was quite friendly, it was more like a conversation. Typical questions like What role do you play in a team etc. Technical interviewer was quite cold which was unexpected from Deloitte for me but maybe it's only normal by industry standards. Basic questions from data science, 2 SQL queries, 1 probability problem. 2. Take home 8 hour Case Study assessment (data science problem - visualization, modeling and estimation showcasing results) + Presentation 3. 30 minute Behavioral, 60 minute Technical (where you present your case study followed by QnA), 15 minute interview with Partner. The whole interview scheduling seemed very rushed, and I got my scheduled interview slots typically within 36 hours of the interview. Candidates also had to fill out forms and take the Pyrometrics assessment (which was interesting) in a day's notice which is fine, but I think they could give us more buffer time. It would be expected from an established firm as Deloitte. I got through the Take Home Assessment but cancelled my 3 remaining interviews when I got another offer, only because they repeated the whole "notify late" process. I think candidates also deserve more respect for their time.
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Data Scientist Applied AI

Interviewed at Deloitte

3.8★
Nov 5, 2020

1. 30 minute behavioral, 30 minute technical. Behavioral interviewer was quite friendly, it was more like a conversation. Typical questions like What role do you play in a team etc. Technical interviewer was quite cold which was unexpected from Deloitte for me but maybe it's only normal by industry standards. Basic questions from data science, 2 SQL queries, 1 probability problem. 2. Take home 8 hour Case Study assessment (data science problem - visualization, modeling and estimation showcasing results) + Presentation 3. 30 minute Behavioral, 60 minute Technical (where you present your case study followed by QnA), 15 minute interview with Partner. The whole interview scheduling seemed very rushed, and I got my scheduled interview slots typically within 36 hours of the interview. Candidates also had to fill out forms and take the Pyrometrics assessment (which was interesting) in a day's notice which is fine, but I think they could give us more buffer time. It would be expected from an established firm as Deloitte. I got through the Take Home Assessment but cancelled my 3 remaining interviews when I got another offer, only because they repeated the whole "notify late" process. I think candidates also deserve more respect for their time.

Sorted the array and the sub-array with str, int, float, etc, :: Create a unified list for given list with 'n' possible nested lists containing unordered data types. Constraints:    - Elements should qualify below criteria:      int/float: 1 - 9999      str: Alphanumeric characters    - Sort the elements in the final outcome based on data types and value.   Input: ["Sam", [10987, [2.0, ["Hi", 39]], "Hello12345"], [[[56, 10.345678, ["He!!0"]]]]]   Output : ["Hi", "Sam", "Hello12345", 39, 56, 2.0, 10.345678]
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AI/ML & GenAI Engineer

Interviewed at Deloitte

3.8★
Aug 31, 2024

Sorted the array and the sub-array with str, int, float, etc, :: Create a unified list for given list with 'n' possible nested lists containing unordered data types. Constraints:    - Elements should qualify below criteria:      int/float: 1 - 9999      str: Alphanumeric characters    - Sort the elements in the final outcome based on data types and value.   Input: ["Sam", [10987, [2.0, ["Hi", 39]], "Hello12345"], [[[56, 10.345678, ["He!!0"]]]]]   Output : ["Hi", "Sam", "Hello12345", 39, 56, 2.0, 10.345678]

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