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EXL Service
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I applied via Company Website
SQL knowledge is must.
Any visualisation tool is preferred.
Python basic required.
I applied via Naukri.com and was interviewed in Apr 2024. There was 1 interview round.
I applied via Job Portal and was interviewed in Sep 2023. There were 4 interview rounds.
The company would want to test your comprehension skills and English grammar. You should be able to understand the passage and give short answers.
What people are saying about EXL Service
EXL Service interview questions for popular designations
Experienced product manager with a background in tech and a passion for creating innovative solutions.
Over 5 years of experience in product management
Strong background in technology and software development
Proven track record of launching successful products
Passionate about creating user-centric solutions
Excellent communication and leadership skills
I have a diverse background in product management, with experience in leading cross-functional teams and launching successful products.
Led cross-functional teams to launch a new mobile app, resulting in a 20% increase in user engagement
Managed the development of a SaaS platform from concept to launch, exceeding revenue targets by 15%
Implemented agile methodologies to streamline product development processes and improve
Get interview-ready with Top EXL Service Interview Questions
I applied via campus placement at SVNIT Sardar Vallabhbhai National Institute of Technology, Surat and was interviewed before Oct 2023. There were 4 interview rounds.
Online Aptitude test
I applied via Referral and was interviewed in Apr 2024. There were 5 interview rounds.
Job Details about data ,how to work on excel
Excel, power bi and sql
Excel formula and vba assignment
I applied via Job Portal and was interviewed in Dec 2023. There was 1 interview round.
I applied via Recruitment Consulltant and was interviewed in Sep 2023. There were 2 interview rounds.
I applied via Naukri.com and was interviewed in Sep 2023. There were 3 interview rounds.
I used Word2Vec embedding model and cosine similarity algorithm for similarity search.
Word2Vec embedding model was used to convert words into numerical vectors.
Cosine similarity algorithm was used to measure the similarity between vectors.
Example: Word2Vec model trained on a large corpus of text data, cosine similarity used to find similar words or documents.
Some of the top questions asked at the EXL Service interview -
The duration of EXL Service interview process can vary, but typically it takes about less than 2 weeks to complete.
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