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Publicis Sapient
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Publicis Sapient Associate Data Science Consultant Interview Questions and Answers
Publicis Sapient Associate Data Science Consultant Interview Experiences
1 interview found
Selected
I applied via Naukri.com and was interviewed before Nov 2023. There were 2 interview rounds.
(3 Questions)
- Q1. Brief description about yourself
- Q2. Some technical questions based on the projects you have made
- Q3. A simple problem statement
(3 Questions)
- Q1. Your experience in the previous company
- Q2. How you tackle various problems
- Ans.
I tackle various problems by breaking them down into smaller tasks, conducting research, collaborating with team members, and seeking feedback.
Break down the problem into smaller tasks to make it more manageable
Conduct research to gather relevant information and insights
Collaborate with team members to brainstorm ideas and solutions
Seek feedback from peers and mentors to improve problem-solving approach
- Q3. Communication skills and thought process related questions
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Bosch Global Software Technologies
Anonymous
posted on 26 Nov 2024
Selected
I applied via Campus Placement
It was related to Aptitude MCQ and 2-coding test
(3 Questions)
- Q1. Palindrome of a number
- Ans.
A palindrome of a number is a number that remains the same when its digits are reversed.
To check if a number is a palindrome, reverse the number and compare it with the original number.
Examples: 121 is a palindrome, 123 is not a palindrome.
- Q2. Merge 2linked list
- Ans.
Merging two linked lists involves combining the elements of both lists into a single list.
Create a new linked list to store the merged elements
Traverse through both linked lists and add elements to the new list
Handle cases where one list is longer than the other
- Q3. About projects you have done
(2 Questions)
- Q1. Explain your resume fully
- Q2. General questions on the behaviour
Skills evaluated in this interview
Data Science Engineer Interview Questions & Answers
Bosch Global Software Technologies
Shivam Goel
posted on 5 Sep 2024
(2 Questions)
- Q1. Describe projects
- Ans.
I have worked on projects involving predictive modeling, natural language processing, and machine learning algorithms.
Developed a predictive model to forecast customer churn for a telecom company
Implemented sentiment analysis using NLP techniques on social media data
Utilized machine learning algorithms to classify spam emails
- Q2. Deep dived into every skill
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Publicis Sapient Associate Data Science Consultant Interview Process
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