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I applied via Approached by Company and was interviewed in Sep 2023. There were 4 interview rounds.
I have very intrest to face the aptitude test and ill try to my level best to crack this round
I have very intrest to face the GD round and ill try to my level best to crack this round
I have very intrest to face the coding test and ill try to my level best to crack this test
The main benefits of working here include opportunities for growth, a supportive team environment, and access to cutting-edge technology.
Opportunities for career advancement and professional development
Supportive team environment that encourages collaboration and innovation
Access to cutting-edge technology and tools to enhance productivity
Competitive salary and benefits package
Work-life balance initiatives to promote e
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posted on 9 Nov 2022
I applied via Naukri.com and was interviewed in Oct 2022. There were 2 interview rounds.
I appeared for an interview before Jan 2024.
Not required depends on the project
It’s very easy and simple maths
Tell about family and hobbies and ambitions
I applied via Referral and was interviewed before Feb 2022. There were 2 interview rounds.
I want to join Synchrony because of its strong reputation, career growth opportunities, and commitment to innovation.
Synchrony has a strong reputation in the industry for its financial services
The company offers excellent career growth opportunities and invests in employee development
Synchrony is known for its commitment to innovation and staying ahead of market trends
I believe joining Synchrony will provide me with a
posted on 16 Jan 2025
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
posted on 28 Mar 2022
I applied via Naukri.com and was interviewed in Feb 2022. There were 2 interview rounds.
I applied via Recruitment Consultant
I applied via Referral and was interviewed before Apr 2021. There were 2 interview rounds.
Test was for 30 minutes and mathematics and Logical reasoning was the topic
I applied via Naukri.com and was interviewed before Jun 2020. There were 4 interview rounds.
To segment a population based on attributes, use clustering algorithms like k-means or hierarchical clustering.
Identify relevant attributes such as age, income, education level, etc.
Normalize the data to ensure all attributes are on the same scale.
Choose a clustering algorithm based on the size of the dataset and the desired number of segments.
Evaluate the results using metrics like silhouette score or within-cluster s...
based on 1 interview
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