1) Walk me through your resume 2) On a scale of 1 to 10 how will you scale yourself in Python. 3) What will your approach to handling missing value in Pandas DataFrame 4) What will your approach to removing duplicated value-form Pandas DataFrame column without using pandas inbuilt function 5) How will you remove the first, last, and nth occurrence after answering the above question. 6) How will you fill missing value without using pandas inbuilt function. 7) If you were asked to fill above row value to missing value after I answered the above question. 8) There is a list of 1 to 100 numbers in unsorted order with one number missing, order not defined. How will you find which number and its index is missing? 9) How much coffee does CCD sell in a day in your city.
Data Management And Analysis Intern Interview Questions
562 data management and analysis intern interview questions shared by candidates
2. Technical Round Duration - 30 minutes Q1. Tell me about yourself ? Q2. Tell me about your project ? Q3. Resume based questions Q4. Questions related to cloud Q5. Tell me about your family ? Q6. Questions related to new technology
Q1: Why BlackRock Q2: Personal interests and hobbies
Tell me about a time where you handled conflict at work.
About myself and FP&A question.
Your work ex is all good,I have issue with your stabilty. So can you sign bond? I say No and thats its gets over in the final round. If they had issue with the same then they should nt have processed and made me go through these many rounds of interview. In round 1 the person grills for salary negotiation, in round 2 on bond along with night shift. Just because a person has career gap, you expect bond, low salary and niggt shift all at one go? Grow up. Dont treat employees as slave.
tell me about yourself some technical questions resume based questions
What interests you about this role?
- Walk me through your resume. - Why Cisco? - Why finance?
Questions were mostly to understand my background, experiences and skills. There was not a surprising question. Mostly conversational.
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