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I applied via Walk-in and was interviewed in May 2023. There were 4 interview rounds.
Top trending discussions
I appeared for an interview in Mar 2017.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
I appeared for an interview in Apr 2021.
Round duration - 45 Minutes
Round difficulty - Medium
Given an array or list of integers 'ARR', identify the second largest element in 'ARR'.
If a second largest element does not exist, return -1.
ARR = [2,...
Find the second largest element in an array of integers.
Iterate through the array to find the largest and second largest elements.
Handle cases where all elements are identical.
Return -1 if a second largest element does not exist.
Round duration - 20 Minutes
Round difficulty - Easy
Tip 1 : Start with basic probability and statistics
Tip 2 : Prepare Machine Learning well
Tip 3 : Be good with any visualisation tool like Tableau
Tip 4 : Do some problems on kaggle
Tip 1 : Provide certifications for SQL, Machine Learning etc.
Tip 2 : Include some good ML projects in the resume
I applied via Campus Placement and was interviewed in Nov 2022. There were 2 interview rounds.
I am a data analyst with a strong background in statistics and programming.
Experienced in analyzing large datasets and extracting meaningful insights
Proficient in statistical analysis and data visualization tools such as Python, R, and Tableau
Skilled in SQL for data querying and manipulation
Strong problem-solving and critical thinking abilities
Effective communication skills for presenting findings to stakeholders
Developed a predictive model to forecast customer churn for a telecommunications company.
Used machine learning algorithms to analyze customer data
Performed feature engineering to identify key predictors of churn
Built and trained a model using historical data
Evaluated model performance and provided actionable insights to reduce churn
I applied via Company Website and was interviewed in Apr 2022. There were 2 interview rounds.
Improve your skills
I applied via Campus Placement and was interviewed in Oct 2024. There were 2 interview rounds.
It's was good.Need to cover all the topics
They will ask aptitude, reasoning and other questions as an online test to know your problem solving skills.
They will give a topic where either we have to speak or write on that topic
Prepare the assignment in attractive manner and maintain the flow
I applied via Approached by Company and was interviewed before Apr 2023. There were 4 interview rounds.
Aptitudee,reasioning,maths
Coding was moderate 3 questiins will be given
Topic on politics for 5 members
Mu Sigma is a decision sciences and analytics company that focuses on solving complex business problems using data science.
Mu Sigma is a company that specializes in decision sciences and analytics, using data science to solve complex business problems.
Decision sciences involve making strategic decisions based on data analysis, while data science focuses on extracting insights from data using various techniques.
Mu Sigma...
based on 1 interview
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