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ExcelR Solutions Data Science Intern Interview Questions and Answers

Updated 9 Jan 2024

ExcelR Solutions Data Science Intern Interview Experiences

2 interviews found

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

I applied via Recruitment Consulltant and was interviewed in Dec 2023. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. Introduction why you are joining data science role what is the experience
  • Q2. Data science is most frequent technology And growing abroad for the future and take decision easy way
Round 2 - Coding Test 

Why using pandas numpy matplot lib and seaborn library

Round 3 - Assignment 

I have done data science all assignment completely
like linear regression multiple linear regression logistics regression knn model random forest svm model decesion tree neural network text mining clustering method etc

Interview Preparation Tips

Interview preparation tips for other job seekers - Medium

Interview Questionnaire 

4 Questions

  • Q1. More about python, ML and Analytics parts
  • Q2. Machine Learning and projects I have worked with.
  • Q3. About myself and to self introduce and give detailed about projects
  • Q4. Some of the python code which, is easy to work with

Interview Preparation Tips

Interview preparation tips for other job seekers - Be positive and be confident ad show them you could achive it

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Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(2 Questions)

  • Q1. Swap two numbers
  • Ans. 

    To swap two numbers, store one number in a temporary variable, then assign the second number to the first, and finally assign the temporary variable to the second number.

    • Store one number in a temporary variable

    • Assign the second number to the first number

    • Assign the temporary variable to the second number

  • Answered by AI
  • Q2. Print hello world
  • Ans. 

    Printing hello world is a common introductory programming task.

    • Use a print statement in the programming language of your choice.

    • For example, in Python: print('Hello, World!')

    • In Java: System.out.println('Hello, World!')

  • Answered by AI

Skills evaluated in this interview

Data Scientist Interview Questions & Answers

ABCD user image sandeep kolli

posted on 23 Jul 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Missing values outliers, over fitting underfitting
Round 2 - Technical 

(1 Question)

  • Q1. Outliers missing values, overfitting underfitting
  • Ans. 

    Understanding outliers, missing values, overfitting, and underfitting in data science.

    • Outliers are data points that significantly differ from other data points in a dataset.

    • Missing values are data points that are not present in a dataset.

    • Overfitting occurs when a model learns noise in the training data rather than the underlying pattern.

    • Underfitting occurs when a model is too simple to capture the underlying pattern in...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(2 Questions)

  • Q1. Swap two numbers
  • Ans. 

    To swap two numbers, store one number in a temporary variable, then assign the second number to the first, and finally assign the temporary variable to the second number.

    • Store one number in a temporary variable

    • Assign the second number to the first number

    • Assign the temporary variable to the second number

  • Answered by AI
  • Q2. Print hello world
  • Ans. 

    Printing hello world is a common introductory programming task.

    • Use a print statement in the programming language of your choice.

    • For example, in Python: print('Hello, World!')

    • In Java: System.out.println('Hello, World!')

  • Answered by AI

Skills evaluated in this interview

I applied via Approached by Company and was interviewed before Jun 2021. 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 - Demo 

(1 Question)

  • Q1. How do you establish connect with students
  • Ans. 

    Establishing a connection with students is crucial for effective teaching.

    • Show genuine interest in their lives and hobbies

    • Use humor and relatable examples to make lessons engaging

    • Provide opportunities for student input and feedback

    • Be approachable and available for one-on-one conversations

    • Create a positive and inclusive classroom environment

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. Why have you taken a break of 10 years
  • Q2. To give time to my kids

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and honest. Do not hesitate to put your thoughts

ExcelR Solutions Interview FAQs

How many rounds are there in ExcelR Solutions Data Science Intern interview?
ExcelR Solutions interview process usually has 3 rounds. The most common rounds in the ExcelR Solutions interview process are HR, Coding Test and Assignment.
What are the top questions asked in ExcelR Solutions Data Science Intern interview?

Some of the top questions asked at the ExcelR Solutions Data Science Intern interview -

  1. Some of the python code which, is easy to work wi...read more
  2. Data science is most frequent technology And growing abroad for the future and...read more
  3. More about python, ML and Analytics pa...read more

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ExcelR Solutions Data Science Intern Interview Process

based on 2 interviews

Interview experience

3.5
  
Good
View more

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ExcelR Solutions Data Science Intern Salary
based on 43 salaries
₹1 L/yr - ₹5 L/yr
19% less than the average Data Science Intern Salary in India
View more details

ExcelR Solutions Data Science Intern Reviews and Ratings

based on 8 reviews

3.7/5

Rating in categories

3.8

Skill development

3.5

Work-life balance

2.8

Salary

2.8

Job security

4.3

Company culture

3.3

Promotions

3.2

Work satisfaction

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