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Quantium Analytics Data Scientist Interview Questions and Answers
Quantium Analytics Data Scientist Interview Experiences
2 interviews found
It was easy and basics of aptitude and sql required
You need smart work here to analyze the given question
(1 Question)
- Q1. Basic math questions
(1 Question)
- Q1. Basic hr questions
Data Scientist Jobs at Quantium Analytics
Top trending discussions
Interview questions from similar companies
Forecasting problem - Predict daily sku level sales
(2 Questions)
- Q1. What is difference between bias and variance
- Ans.
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
Bias is the error introduced by approximating a real-world problem, leading to underfitting.
Variance is the error introduced by modeling the noise in the training data, leading to overfitting.
High bias can cause a model to miss relevant relationships between features and target variable.
High variance can cause a model to ...
- Q2. Parametric vs non parametruc model
- Ans.
Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.
Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.
Examples of parametric models inc...
Skills evaluated in this interview
Selected
I applied via Job Portal and was interviewed before Dec 2023. There were 3 interview rounds.
SQL Test with 5 questions
(2 Questions)
- Q1. Approach towards solving the SQL Queries from the test
- Q2. Past Experiences
(2 Questions)
- Q1. Resume related Questions
- Q2. Power BI and SQL related questions. How to approach in a dashboard building process
I applied via Naukri.com
Love Marriage vs Arrange Marriage
Related to check the background verification
Data Scientist Intern Interview Questions & Answers
Pitney Bowes
Astha Jaiswal
posted on 11 May 2017
I appeared for an interview in Nov 2016.
Interview Questionnaire
4 Questions
- Q1. Questions related to Machine Learning Algorithms.
- Q2. Questions related to Computer Vision.
- Q3. A couple of puzzles.
- Q4. Where do you see yourself in 5 years?
- Ans.
In 5 years, I see myself as a seasoned data scientist leading impactful projects and mentoring junior team members.
Leading data science projects and driving impactful results
Mentoring junior team members and sharing knowledge
Continuing to learn and grow in the field of data science
Interview Preparation Tips
Experience: I said I wanted to be at MIT Media Lab.
Skills: Programming, Machine Learning
College Name: University of Delhi
Gaurav Pirthani
(3 Questions)
- Q1. Python - find max from array without using built in function
- Ans.
Find max from array in Python without using built-in function.
Iterate through the array and compare each element with a variable storing the current maximum value.
If the element is greater than the current maximum, update the variable.
Return the variable after iterating through the entire array.
- Q2. Spark cluster configuration
- Q3. Python split data interview question
Interview Preparation Tips
Skills evaluated in this interview
I applied via Recruitment Consulltant and was interviewed in Aug 2021. There were 2 interview rounds.
Verbal ability, logical reasoning, finding relationship, problem on train, Problem on distance and time, find compound interest
(4 Questions)
- Q1. What is your family background?
- Q2. What are your strengths and weaknesses?
- Q3. Tell me about yourself.
- Q4. HR behaviour was very good and helpful
Interview Preparation Tips
1st round was Aptitude, which is average difficultly level.
2nd round was Group Discussions, here they only check our communication.
(5 Questions)
- Q1. Techincal Round, here the technical questions about our bachgroud were asked. They will ask questions based on our resume.
- Q2. What is Artificial Intelligence?
- Ans.
Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems.
AI involves machines performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Machine learning is a subset of AI that enables machines to learn from data and improve their performance over time.
Examples of AI applic...
- Q3. What is Power BI?
- Ans.
Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities.
Power BI is a data visualization tool used to create interactive reports and dashboards.
It allows users to connect to various data sources, clean and transform data, and create visually appealing reports.
Power BI offers a wide range of visualization options such as charts, graphs, maps, and...
- Q4. How to load Data in Power BI?
- Ans.
Data can be loaded in Power BI by connecting to various data sources like Excel, SQL databases, online services, etc.
Connect to data sources by clicking on 'Get Data' in Power BI
Select the desired data source (e.g. Excel, SQL Server, SharePoint, etc.)
Choose the specific data tables or queries to import into Power BI
Transform and clean the data using Power Query Editor if needed
Load the data into Power BI model for visu
- Q5. Explain about your final year project?
- Ans.
Developed a predictive analytics model for predicting customer churn in a telecom company.
Used machine learning algorithms like logistic regression and random forest for analysis.
Performed data preprocessing, feature engineering, and model evaluation.
Achieved an accuracy of 85% in predicting customer churn.
Presented findings and recommendations to the telecom company's management team.
Skills evaluated in this interview
Software Engineer Interview Questions & Answers
American Megatrends
R. Arockia Ratheesh Sahayaraj
posted on 6 Nov 2015
Interview Preparation Tips
Experience: Only 24 people from my campus attended the placement process of this company.The experience wasn't really good.I wasn't
short-listed for next round as my CGPA was 7.5 and need was of above 7.5 ,as they were maintaining standards.
Round: Test
Experience: 1.C aps was really tough.
2.Section 2 we had to choose either Microprocessor or Java,I preferred microprocessor . 3.Simple Questions on 8085 and 8086 instruction set was asked.
4.How much memory are there are 20 address lines,
5.Difference between SRAM and DRAM.
6.ROM is used for stack or not.
7.What are contents of Stack Pointer after PUSH and POP operation.
8.What happens after RET instruction?
9.What is CMC equivalent instruction?
Round: Test
Experience: 16 questions on Quant which are :-
Odd number in a series, Area and Volume, Games of Skill, Time and Work, Average, Trains, Boats
and Streams, Profit and Gain were asked.
If no. of handshakes is 66,find total number of People.?
A lotus in a pond doubles in size everyday,if it fills the pond on 20th day,when will be the pond would be half?
LOGICAL REASONING-
4 men are on the side of a bridge.One torch light is with them and without it they cannot cross
the bridge.The bridge can withstand only 2 people at a time.The time required by the persons are 1
min,2 mins,7 mins,10 mins respectively.Find the shortest time required by all of em to cross the
bridge.
(Answer: 17 minutes)
Round: SOFT SKILLS
Experience: scenario based questions were asked:-
1.working on a project in your company and your brother is in urgent need of a project.What will you do?
2.Your friend mails the project details to some other company.what will be you reaction?
3.Your boss allows to take your team members for a treat.Whether you choose costly one or within budget?
4.Your favorite subject in your curriculum and Why?
5.Where you would view yourself in 5 years?
6.What is a dream company in your terms?
7.Any situation were your work was criticized and what was your reaction?
Skills:
College Name: Anna University Chennai
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Quantium Analytics Data Scientist Interview Process
based on 2 interviews
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Data Scientist
25
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|  ₹12 L/yr - ₹20.2 L/yr |
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Analyst
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Senior Data Scientist
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