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Merkle Data Science Intern Interview Questions and Answers

Updated 10 Oct 2024

Merkle Data Science Intern Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
-
Process Duration
2-4 weeks
Result
-

I applied via Company Website and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. About yourself and project
  • Q2. What is the feature engineering menthods you used
  • Ans. 

    I have used techniques like one-hot encoding, feature scaling, polynomial features, and interaction terms for feature engineering.

    • One-hot encoding for categorical variables

    • Feature scaling for numerical variables

    • Polynomial features for capturing non-linear relationships

    • Interaction terms for capturing interactions between features

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
-
Result
Selected Selected

I applied via Company Website and was interviewed before Dec 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Categories of the CAT exam include Quantitative Aptitude, Verbal Ability, Data Interpretation and Logical Reasoning, and Graphical questions.

Round 2 - Coding Test 

Medium level. Focus on SQL subqueries application.

Round 3 - One-on-one 

(2 Questions)

  • Q1. Statistical questions related to different hypothesis testing
  • Q2. Questions related to different machine learning model
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in Oct 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

30 minutes. 3 aptitude questions . Very easy .

Round 2 - Coding Test 

DSA Questions. Palindrome , Arrays and Strings were the most asked questions in my batch.

Round 3 - One-on-one 

(2 Questions)

  • Q1. What are directors?
  • Ans. 

    Directors are individuals responsible for overseeing the activities and operations of a company or organization.

    • Directors are typically appointed by shareholders or members of the organization.

    • They are responsible for making strategic decisions and setting goals for the organization.

    • Directors have a fiduciary duty to act in the best interests of the company and its stakeholders.

    • Examples of directors include the CEO, CF

  • Answered by AI
  • Q2. OOP COncepts such as polymorphism, inheritance, etc.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Tell me about your projects?
  • Q2. How do you approach the project if you are using logistic regression model?
  • Ans. 

    Approach involves data preprocessing, model training, evaluation, and interpretation.

    • Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.

    • Split the data into training and testing sets.

    • Train the logistic regression model on the training data.

    • Evaluate the model using metrics like accuracy, precision, recall, and F1 score.

    • Interpret the model coefficients to under...

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. What are you future goals?
  • Q2. What would you do if your interested field doesnt have any work in the company?
  • Ans. 

    I would seek opportunities to apply my skills in related fields within the company.

    • Explore other departments or teams within the company that may have projects related to my field of interest

    • Offer to collaborate with colleagues in different departments to bring a new perspective to their projects

    • Seek out professional development opportunities to expand my skills and knowledge in related areas

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(3 Questions)

  • Q1. Questions around the previous work
  • Q2. Questions around how re-rank work, and image segmentation,
  • Q3. Questions with podman and docker

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your profile and brush up your knowledge
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Coding Test 

Easy topics arrays, sequence sum.

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed in Sep 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Multiple choice questions

Round 2 - Coding Test 

SQL , python, scala, Java

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Tell us about ur self ?

Interview Preparation Tips

Interview preparation tips for other job seekers - Very friendly environment that anyone can choose undoubtedly
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Sep 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Asked firstly some question over my resume then 2 case study type problems where i have to improve the recommdation system for zomato, and finally one coding question based on two pointer
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(2 Questions)

  • Q1. Basic Recommendation System Questions
  • Q2. A B Testing Questions

Merkle Interview FAQs

How many rounds are there in Merkle Data Science Intern interview?
Merkle interview process usually has 1 rounds. The most common rounds in the Merkle interview process are Technical.

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Merkle Data Science Intern Interview Process

based on 1 interview

Interview experience

3
  
Average
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