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KredX Data Analyst Interview Questions and Answers

Updated 2 Jan 2022

KredX Data Analyst Interview Experiences

1 interview found

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 2 Jan 2022

I applied via Recruitment Consultant and was interviewed before Jan 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Questions related to SQL
  • Q2. Analytical Based Use cases

Interview Preparation Tips

Interview preparation tips for other job seekers - Basic Knowledge of SQL and how to create Reports and Dashboard is a must

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
No response

I applied via Referral

Round 1 - Aptitude Test 

30 minutes Aptitude test

Round 2 - Coding Test 

1 Hour 30 minutes on SQL screening test

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

It was hackerrank test

Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Questions based on MS Excel only and provide 1 assignment for data analysis.
Round 2 - Technical 

(1 Question)

  • Q1. Again easy questions on MS Excel like; Vlookup, pivot, summarize, sumif, etc

Interview Preparation Tips

Topics to prepare for Indifi Technologies Business Analyst interview:
  • MS excel
  • SQL
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview before Mar 2024.

Round 1 - Technical 

(3 Questions)

  • Q1. Filtering methods in pandas?
  • Ans. 

    Pandas filtering methods allow for selecting data based on conditions, enhancing data analysis and manipulation.

    • Boolean indexing: Use boolean conditions to filter rows. Example: df[df['age'] > 30]

    • Query method: Use the query() function for filtering. Example: df.query('age > 30')

    • loc method: Access a group of rows and columns by labels. Example: df.loc[df['age'] > 30, ['name', 'age']]

    • isin method: Filter rows bas...

  • Answered by AI
  • Q2. Make simple function to create new columns by using existing multiple other fields.
  • Q3. Write a simple SQL query for department wise budget?
  • Ans. 

    This SQL query retrieves the total budget allocated for each department in an organization.

    • Use the SUM() function to calculate total budget.

    • Group results by department using GROUP BY clause.

    • Example SQL query: SELECT department, SUM(budget) AS total_budget FROM departments GROUP BY department;

  • Answered by AI
Round 2 - Case Study 

How to improve credit model in order to increase sales growth of the organization?

Round 3 - HR 

(2 Questions)

  • Q1. Related to relocation?
  • Q2. Why you want to chnage current organization?
  • Ans. 

    I seek new challenges and opportunities for growth that align with my career goals and passion for data science.

    • Desire for professional growth: I want to work on more complex projects that push my analytical skills.

    • Interest in innovative technologies: My current organization is not utilizing the latest tools in data science, like machine learning frameworks.

    • Cultural fit: I am looking for a company that values collabora...

  • Answered by AI
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Jan 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Mostly revolves around SQL, A bit of python and in that also specially pandas and might be a bit of excel
Round 2 - Technical 

(1 Question)

  • Q1. SQL a bit advanced, Pandas and Python, and around your projects some time and if you mentioned ML then some questions around it mostly logistic regression,random foresr

Interview Preparation Tips

Interview preparation tips for other job seekers - Be ready with SQL and Pandas along with some excel
In ML logistic regression and random forest mostly asked

I applied via Internshala and was interviewed before Mar 2021. There was 1 interview round.

Round 1 - HR 

(1 Question)

  • Q1. Tell me about yourself.

Interview Preparation Tips

Interview preparation tips for other job seekers - Gain practical knowledge and write blogs
Round 1 - Technical 

(2 Questions)

  • Q1. What is Vector? How it is different from arrays?
  • Ans. 

    Vector is a dynamic array that can resize itself. It differs from arrays in its ability to change size during runtime.

    • Vectors are implemented as dynamic arrays, whereas arrays are static.

    • Vectors can resize themselves during runtime, whereas arrays have a fixed size.

    • Vectors can be used to store objects of any type, whereas arrays can only store objects of a specific type.

    • Vectors have built-in functions for easy manipula

  • Answered by AI
  • Q2. What is an abstract class?
  • Ans. 

    An abstract class is a class that cannot be instantiated and is used as a base class for other classes.

    • An abstract class can have abstract and non-abstract methods.

    • Abstract methods are declared but not implemented in the abstract class.

    • A non-abstract class that inherits from an abstract class must implement all abstract methods.

    • An abstract class can have constructors and fields like a regular class.

    • An abstract class ca...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Clear C++ concepts and also machine learning concepts.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Aptitude Test 

Consisted of basic dsa questions and time complexity questions

Round 2 - Coding Test 

4 dsa questions to be solved in one hour

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(1 Question)

  • Q1. About experience and work profile
Round 3 - HR 

(1 Question)

  • Q1. About salary, position and working location

Interview Preparation Tips

Interview preparation tips for other job seekers - Great organization, No work pressure, Good incentive

KredX Interview FAQs

What are the top questions asked in KredX Data Analyst interview?

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