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Mu Sigma Trainee Decision Scientist Interview Questions, Process, and Tips
Top Mu Sigma Trainee Decision Scientist Interview Questions and Answers
- Q1. The sales of apple is going down. What might be the cause?
- Q2. What are the methods used to store and analyze data before the existence of tools such as Excel
- Q3. how you would fix the ticket price for a play in an auditorium
Mu Sigma Trainee Decision Scientist Interview Experiences
54 interviews found
Anonymous
Selected
I applied via Company Website and was interviewed in Sep 2024. There were 2 interview rounds.
Basic mathematical and resoning questions.
(4 Questions)
- Q1. Tell me about your self
- Q2. Explain the recent project
- Ans.
Developed a predictive model for customer churn in a telecom company
Collected and cleaned customer data including usage patterns and demographics
Used machine learning algorithms such as logistic regression and random forest
Evaluated model performance using metrics like accuracy and AUC-ROC curve
- Q3. What is the difference between random forest and decision tree
- Ans.
Random forest is an ensemble learning method that uses multiple decision trees to make predictions, while a decision tree is a single tree-like structure that makes decisions based on features.
Random forest is a collection of decision trees that work together to make predictions.
Decision tree is a single tree-like structure that makes decisions based on features.
Random forest reduces overfitting by averaging the predic...
- Q4. What is cost function
- Ans.
A cost function is a mathematical formula used to measure the cost of a particular decision or set of decisions.
Cost function helps in evaluating the performance of a model by measuring how well it is able to predict the outcomes.
It is used in optimization problems to find the best solution that minimizes the cost.
Examples include mean squared error in linear regression and cross-entropy loss in logistic regression.
Interview Preparation Tips
Skills evaluated in this interview
Selected
General aptitude, and you will need to record and upload a video on a specific topic,prepare thoroughly.
(1 Question)
- Q1. What is data science, and why are you interested in this company?
- Ans.
Data science involves extracting insights from data to make informed decisions. I am interested in this company because of its reputation for using cutting-edge data science techniques.
Data science is the process of analyzing and interpreting complex data to make informed decisions
It involves using various techniques such as machine learning, statistical analysis, and data visualization
Companies use data science to imp...
Interview Preparation Tips
I applied via Campus Placement and was interviewed in Sep 2024. There were 2 interview rounds.
Aptitude involving verbal,quants,logical
(2 Questions)
- Q1. Introdoce yourself
- Q2. Situation based quetions(6)
I applied via Campus Placement and was interviewed before Dec 2023. There were 3 interview rounds.
Basic and easy aptitude questions
Basic level python coding test
(2 Questions)
- Q1. Tell me about the projects that you have mentioned in your resume
- Q2. How will you go about resolving conflicts if you are the team leader
Mu Sigma interview questions for designations
Easy basic aptitude will be enough to crack
Good communication and nice thought process
(2 Questions)
- Q1. Write a query to find the nth largest salary ?
- Ans.
Query to find the nth largest salary in a database table.
Use the ORDER BY clause to sort the salaries in descending order.
Use the LIMIT clause to specify the nth largest salary.
Consider handling cases where there may be ties for the nth largest salary.
- Q2. Basics on sql and python
Interview Preparation Tips
Skills evaluated in this interview
Get interview-ready with Top Mu Sigma Interview Questions
Selected
I applied via Campus Placement and was interviewed in Oct 2023. There were 4 interview rounds.
Contained basic quants questions from ratio proportion, simple interest etc and a few english questions
There were about 6-7 people in one group of GD. My given topic was skills or degree which is more important everyone were given an equal amount of time to speak
(4 Questions)
- Q1. Why Mu Sigma for u?
- Q2. What do you know about Mu sigma?
- Ans.
Mu Sigma is a leading data analytics and decision sciences company that helps organizations make data-driven decisions.
Mu Sigma was founded in 2004 and is headquartered in Chicago, Illinois.
It provides analytics services to various industries such as retail, healthcare, finance, and technology.
Mu Sigma uses a unique problem-solving approach called the Art of Problem Solving (AoPS) to help clients optimize their decisio...
- Q3. When was the time u thought u failed but didn’t give up
- Q4. What are your weaknesses
Interview Preparation Tips
It was good, and very basic questions were there.
The topic given was: Is child labour good for society?
(1 Question)
- Q1. Basic questions on projects and internshipa
MuApt test was conducted where few logical, numerical questions were asked
(3 Questions)
- Q1. This was a HR cum technical round. They asked all tech questions on python, machine learning. In HR round they asked about strengths, weaknesses and family background.
- Q2. Data structure related questions
- Q3. Back propagation in neural network
- Ans.
Back propagation is a supervised learning algorithm used to train neural networks.
It is used to adjust the weights of the neural network to minimize the error between the predicted output and the actual output.
It involves propagating the error backwards from the output layer to the input layer, and adjusting the weights accordingly.
It uses the chain rule of calculus to calculate the gradient of the error with respect t...
Interview Preparation Tips
Skills evaluated in this interview
Saransh Sehrawat
I applied via Referral and was interviewed in Dec 2022. There were 3 interview rounds.
It was 1 Hour Test, Total of 35 questions were there
30 questions included -- Logical, seating arrangement, profit and loss, sequence, 1 SQL question(distinct fn), the output of array, etc
5 questions named Algorithm concept
a) round table seating arrangement - need to write a program
(2 Questions)
- Q1. 1. Prepare for programming language questions
- Q2. 2. Learn Python, sql, ML
Interview Preparation Tips
- Python
- Algorithms
- logical
- reasoning
I applied via campus placement at Sathyabama University and was interviewed in Sep 2022. There were 3 interview rounds.
The first round had Aptitude questions from Quants, Logical and Verbal
The GD was pretty easy you just have to be confident and talk more. We were divided into batches and my batch had 9 people. You will be given a topic to discuss on and who share the best points will be selected for the next round.
(3 Questions)
- Q1. This was my final round. The Personal Interview round. I was asked to tell me about myself, My hobbies, and basic technical questions related to DBMS, SQL and Python and then a HR question
- Q2. Why is Power BI and Tableau used for?
- Ans.
Power BI and Tableau are used for data visualization and business intelligence purposes.
They help in creating interactive dashboards and reports.
They allow users to analyze and explore data in a visual format.
They can connect to various data sources and transform data for analysis.
They provide features like data filtering, sorting, and aggregation.
They enable users to share insights and collaborate with others.
Example:...
- Q3. What are the methods used to store and analyze data before the existence of tools such as Excel
- Ans.
Before Excel, data was stored and analyzed using manual methods.
Data was stored in physical files such as paper documents or index cards.
Analysis was done manually using tools such as calculators or statistical tables.
Data was often organized using charts or graphs.
Data entry was done by hand, which was time-consuming and prone to errors.
Interview Preparation Tips
Skills evaluated in this interview
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Mu Sigma Interview FAQs
Some of the top questions asked at the Mu Sigma Trainee Decision Scientist interview -
The duration of Mu Sigma Trainee Decision Scientist interview process can vary, but typically it takes about less than 2 weeks to complete.
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Mu Sigma Interviews By Designations
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Mu Sigma Trainee Decision Scientist Interview Process
based on 23 interviews
6 Interview rounds
- Group Discussion Round - 1
- Group Discussion Round - 2
- HR Round
- Aptitude Test Round - 1
- Aptitude Test Round - 2
- Aptitude Test Round - 3
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Mu Sigma Trainee Decision Scientist Reviews and Ratings
based on 231 reviews
Rating in categories
|
Decision Scientist
1.7k
salaries
|  ₹3.5 L/yr - ₹12.9 L/yr |
|
Trainee Decision Scientist
1.3k
salaries
| ₹2.5 L/yr - ₹10.5 L/yr |
|
Apprentice Leader
665
salaries
| ₹7 L/yr - ₹25 L/yr |
|
Data Scientist
325
salaries
| ₹3 L/yr - ₹12 L/yr |
|
Data Analyst
292
salaries
| ₹3 L/yr - ₹9.4 L/yr |
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