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Kapture CX Data Scientist Interview Questions and Answers

Updated 26 Aug 2024

Kapture CX Data Scientist Interview Experiences

1 interview found

Data Scientist Interview Questions & Answers

user image Pavan Kumar

posted on 26 Aug 2024

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What are the evaluation metrics for classification problem
  • Ans. 

    Evaluation metrics for classification problems

    • Accuracy: measures the proportion of correctly classified instances

    • Precision: measures the proportion of true positive predictions among all positive predictions

    • Recall: measures the proportion of true positive predictions among all actual positive instances

    • F1 Score: harmonic mean of precision and recall, balances between precision and recall

    • ROC-AUC: Receiver Operating Chara...

  • Answered by AI
  • Q2. How do you evaluate the llms
  • Ans. 

    I evaluate the llms by analyzing the data, building models, testing them, and iterating for improvement.

    • Analyze the data to understand patterns and relationships

    • Build predictive models using machine learning algorithms

    • Test the models using validation techniques like cross-validation

    • Iterate on the models based on performance metrics and feedback

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

Good communication skills

Round 2 - Group Discussion 

Understanding topics

Round 3 - HR 

(2 Questions)

  • Q1. Why you are good fit the job?
  • Ans. 

    I have a strong background in data analysis, with experience in utilizing various tools and techniques to derive insights from data.

    • Extensive experience in data analysis

    • Proficient in using tools like SQL, Python, and Tableau

    • Strong problem-solving skills

    • Ability to communicate complex findings to non-technical stakeholders

  • Answered by AI
  • Q2. What is the salary expectation?
  • Ans. 

    Salary expectations are based on experience, skills, location, and industry standards.

    • Consider factors like your experience, skills, education, location, and the industry norms when determining your salary expectation.

    • Research the average salary range for Data Analysts in your area and industry to have a realistic expectation.

    • Be prepared to negotiate based on the job responsibilities and benefits offered by the employe

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - I strongly believe my skills and my percentage my degree will suitable for the job.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Introduce Yourself
  • Ans. 

    I am a data analyst with a background in statistics and experience in analyzing large datasets to drive business decisions.

    • Graduated with a degree in Statistics

    • Proficient in data analysis tools such as Python, R, and SQL

    • Experience in creating visualizations to communicate insights

    • Strong problem-solving skills

  • Answered by AI
  • Q2. Skills you have
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Jan 2022. There were 3 interview rounds.

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 - Technical 

(4 Questions)

  • Q1. Technical skills required. Some questions of programming languages are asked.
  • Q2. What are the SQL command groups?
  • Ans. 

    SQL command groups are DDL, DML, DCL, and TCL.

    • DDL (Data Definition Language) - used to define database schema and structure

    • DML (Data Manipulation Language) - used to manipulate data stored in the database

    • DCL (Data Control Language) - used to control access to data stored in the database

    • TCL (Transaction Control Language) - used to manage transactions in the database

    • Examples: CREATE, ALTER, DROP (DDL); SELECT, INSERT, UP...

  • Answered by AI
  • Q3. Explain Object Oriented Programming in Python?
  • Ans. 

    Object Oriented Programming is a programming paradigm that uses objects to represent real-world entities.

    • Python supports OOP concepts such as encapsulation, inheritance, and polymorphism.

    • Classes are used to create objects, which have attributes and methods.

    • Inheritance allows for the creation of subclasses that inherit properties and methods from a parent class.

    • Polymorphism allows for the use of a single method or funct...

  • Answered by AI
  • Q4. VLookup, Hlookup, Pivot Table in Excel
Round 3 - Coding Test 

You will be asked to share the screen and write the codes as asked.

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn the programming language and practice them nicely..
Work environment is fantastic..

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

It was deciphering spoken language to subtitle for a complicated accented show

Round 2 - HR 

(2 Questions)

  • Q1. Why do you want to work here?
  • Ans. 

    I am passionate about the company's mission and values, and I believe my skills and experience align well with the opportunities here.

    • Passionate about company's mission and values

    • Skills and experience align well with opportunities

    • Excited about potential for growth and development

  • Answered by AI
  • Q2. What are you passionate about that made you apply for this job?
  • Ans. 

    I am passionate about using data analysis to drive business decisions and improve processes.

    • I have always been fascinated by the power of data to uncover insights and drive strategic decision-making.

    • I enjoy working with large datasets and using statistical tools to extract meaningful information.

    • I believe that data-driven decision-making is crucial for businesses to stay competitive in today's market.

    • For example, in my...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be good at the language you are applying for
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. The Interviewer displayed a block of Deep Learning code and asked me to explain it
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. Tell me about yourself
  • Ans. 

    I am a data scientist with a background in statistics and machine learning, passionate about solving complex problems using data-driven approaches.

    • Background in statistics and machine learning

    • Experience in analyzing large datasets

    • Skilled in programming languages like Python and R

    • Strong problem-solving skills

    • Passionate about leveraging data to drive insights and decision-making

  • Answered by AI
  • Q2. Why consulting?
  • Ans. 

    Consulting allows me to work on a variety of projects, industries, and challenges, providing valuable experience and exposure.

    • Opportunity to work on diverse projects and industries

    • Exposure to different challenges and problem-solving scenarios

    • Ability to apply expertise in various contexts

    • Opportunity to collaborate with different teams and clients

  • Answered by AI

I applied via Approached by Company and was interviewed in Jan 2022. There were 2 interview rounds.

Round 1 - Coding Test 

Test was conducted on skills like Advanced excel, MySQL, Analytical skills and understanding of business domain. The test was time bound and with camera on.

Round 2 - Technical 

(1 Question)

  • Q1. They questions on projects done by me and my past relevant experience. Also, they asked technical questions regarding Python, MySQL, Tableau, Advanced Excel and also tried to understand why am I changing t...

Interview Preparation Tips

Topics to prepare for Lendingtree Research Services Data Scientist interview:
  • Python
  • MySQL
  • Machine Learning
  • R (Programming language)
  • Advanced Excel
  • Linear Regression
  • Logistic Regression
  • Clustering Algorithm
  • Statistical Data Analysis
Interview preparation tips for other job seekers - You do not need to know everything. Just perfect your basics and try to explain about what work you have previously done related to role they are looking for. If you do not know the answer for a question, then try to give a positive and optimistic approach to it. For example: If you have no experience of working on a specific software which is non-mandatory for job role then you can give them an answer like you have knowledge about that software but you haven't get any opportunity to do hands on onto that skill and you will love to get exposure to perform operations on that skill suring job tenure.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Questions on Statistics and Deep Learninh

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well and depth learning
Interview experience
5
Excellent
Difficulty level
-
Process Duration
More than 8 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed before Feb 2022. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. Tell me 3 strengths and 3 weaknesses

Interview Preparation Tips

Interview preparation tips for other job seekers - Be a good listener. Seek information from interviewer

Kapture CX Interview FAQs

How many rounds are there in Kapture CX Data Scientist interview?
Kapture CX interview process usually has 1 rounds. The most common rounds in the Kapture CX interview process are Technical.
What are the top questions asked in Kapture CX Data Scientist interview?

Some of the top questions asked at the Kapture CX Data Scientist interview -

  1. What are the evaluation metrics for classification prob...read more
  2. How do you evaluate the l...read more

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Kapture CX Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more

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