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Innefu Labs Data Scientist Interview Questions and Answers

Updated 8 Aug 2024

Innefu Labs Data Scientist Interview Experiences

1 interview found

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

I applied via Approached by Company and was interviewed before Aug 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain deep learning
  • Ans. 

    Deep learning is a subset of machine learning that uses neural networks to learn from large amounts of data.

    • Deep learning involves training neural networks with multiple layers to learn complex patterns in data

    • It is used in various applications such as image and speech recognition, natural language processing, and autonomous vehicles

    • Popular deep learning frameworks include TensorFlow, PyTorch, and Keras

  • Answered by AI
  • Q2. How can you use dl instead of ml
  • Ans. 

    Deep learning (DL) can be used instead of machine learning (ML) for more complex tasks and larger datasets.

    • DL is suitable for tasks requiring high levels of abstraction and complex patterns.

    • DL can handle unstructured data like images, audio, and text more effectively than ML.

    • DL requires more data and computational power compared to ML.

    • DL models often have more layers and parameters than ML models.

    • Example: Using DL for ...

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Mostly about projects ml, nlp, python code would be asked
Round 2 - Technical 

(1 Question)

  • Q1. It would be focused on technical stuff in detail ml, nlp, deployments etc
Round 3 - HR 

(1 Question)

  • Q1. Organisation fit
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is overfitting in machine learning?
  • Ans. 

    Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor performance on unseen data as the model fails to generalize well.

    • Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

    • ...

  • Answered by AI
  • Q2. Overfitting accurs when a model learns the details.......etc
  • Ans. 

    Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor generalization and high accuracy on training data but low accuracy on new data.

    • Techniques to prevent overfitting include cross-validation, regularization, and...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Research the company before interview.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview before Mar 2024.

Round 1 - HR 

(2 Questions)

  • Q1. What experience do you have in this role?
  • Q2. What tools or technologies are you comfortable using?
  • Ans. 

    I am proficient in various data analysis tools, including Excel, SQL, Python, and visualization software like Tableau.

    • Excel: Advanced functions, pivot tables, and data visualization.

    • SQL: Writing complex queries for data extraction and manipulation.

    • Python: Utilizing libraries like Pandas and NumPy for data analysis.

    • Tableau: Creating interactive dashboards for data visualization.

    • R: Statistical analysis and data visualiza

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Follow Up – A simple follow-up email can increase your chances of getting hired.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is the pivot table in Excel
  • Ans. 

    A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.

    • Allows users to summarize and analyze large datasets

    • Can easily reorganize data by dragging and dropping fields

    • Provides options to calculate sums, averages, counts, etc. for data

    • Helps in creating interactive reports and charts

    • Useful for identifying trends and patterns in data

  • Answered by AI
  • Q2. A pivot table is used to summarize...........etc.

Interview Preparation Tips

Interview preparation tips for other job seekers - "tailor your resume for each job application."

Skills evaluated in this interview

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

I applied via LinkedIn and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Assignment 

Based on my CV, they assigned me a task related to data migration.

Round 2 - One-on-one 

(2 Questions)

  • Q1. Project reviews
  • Q2. Attendance regarding
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 

(2 Questions)

  • Q1. No question was asked
  • Q2. Same as above, zero questions were asked

Interview Preparation Tips

Interview preparation tips for other job seekers - Just for the compulsary internship scenerio, you can take it. Although, you will learn, but it is a sort of class, you aren't very encouraged to apply your knowledge much.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

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

Round 1 - CV shortlist 

(2 Questions)

  • Q1. Why do we hire you?
  • Ans. 

    I have a strong background in data analysis, machine learning, and problem-solving skills that make me a valuable asset to your team.

    • Extensive experience in data analysis and machine learning techniques

    • Proven track record of solving complex problems using data-driven approaches

    • Strong communication and collaboration skills demonstrated through team projects and internships

  • Answered by AI
  • Q2. What contributions should you make?
  • Ans. 

    As a Data Science Intern, I should contribute by analyzing data, developing models, and providing insights to drive decision-making.

    • Analyze data to identify trends and patterns

    • Develop predictive models to forecast outcomes

    • Provide actionable insights to stakeholders

    • Contribute to data-driven decision-making processes

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is the full form of ETL?
  • Ans. 

    ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.

    • ETL stands for Extract, Transform, Load

    • Extract: Involves extracting data from various sources such as databases, applications, and files

    • Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...

  • Answered by AI
  • Q2. ETL Full form is Exact, Transform, Load.

Interview Preparation Tips

Interview preparation tips for other job seekers - "Stay persistent, network, actively, continuously upgrade your skills."

Interview Questionnaire 

1 Question

  • Q1. Questions about current and past projects and machine learning concepts.

Interview Preparation Tips

Round: Technical Interview
Experience: It was telephonic interview, started with introduction then interviewer asked me about current project and technologies using for implementation. Interviewer was very calm and friendly so I was relaxed, in the end we discussed about job profile, work environment and their expectation from me.
Tips: Know your projects work in details, answer to asked questions very brief and precise, if you don't know answer then be truthfull about it.

College Name: IIT Guwahati

Innefu Labs Interview FAQs

How many rounds are there in Innefu Labs Data Scientist interview?
Innefu Labs interview process usually has 1 rounds. The most common rounds in the Innefu Labs interview process are One-on-one Round.
How to prepare for Innefu Labs Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Innefu Labs. The most common topics and skills that interviewers at Innefu Labs expect are Python, Business Research, Deep Learning, Machine Learning and Natural Language Processing.
What are the top questions asked in Innefu Labs Data Scientist interview?

Some of the top questions asked at the Innefu Labs Data Scientist interview -

  1. How can you use dl instead of...read more
  2. Explain deep learn...read more

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Innefu Labs Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more

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Innefu Labs Data Scientist Salary
based on 12 salaries
₹6.5 L/yr - ₹14 L/yr
37% less than the average Data Scientist Salary in India
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Innefu Labs Data Scientist Reviews and Ratings

based on 1 review

5.0/5

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