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eligarf Technologies Interview Questions and Answers for Freshers

Updated 29 Oct 2024

eligarf Technologies Interview Experiences for Freshers

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Data Annotator Interview Questions & Answers

user image Nitesh Tiwari

posted on 1 Jan 2023

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

I applied via LinkedIn and was interviewed in Jul 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. What skills do you have?
  • Ans. 

    I have strong analytical skills, attention to detail, and experience in data annotation.

    • Strong analytical skills

    • Attention to detail

    • Experience in data annotation

  • Answered by AI
  • Q2. What about you personal details and education

Interview Preparation Tips

Topics to prepare for eligarf Technologies Data Annotator interview:
  • Data Structures
Interview preparation tips for other job seekers - Just focus on comunication round and be strong answer all the question if you have an exp that will be good if fresher it best to start 🙂

Data Annotator Interview Questions asked at other Companies

Q1. What is insurance? Whats is data annotation? Types of data annotation?
View answer (1)

Interview questions from similar companies

I applied via Recruitment Consulltant 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 - Technical 

(1 Question)

  • Q1. When do you prefer Decision Tree better than Random Forest model if model outputs are similar
  • Ans. 

    Decision Tree is preferred over Random Forest when interpretability is important.

    • Decision Tree is easier to interpret and visualize than Random Forest.

    • Decision Tree is better suited for small datasets with few features.

    • Random Forest is better suited for large datasets with many features.

    • Random Forest is less prone to overfitting than Decision Tree.

    • Decision Tree can be used as a building block for Random Forest.

    • If inter...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Why do you want to work here

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep answers simple and to the point.

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Round 1 Aptitude Test. They Ask Total 24 questions There are Aptitude and Verbal, One Codding question related To Sql Joins.

Round 1 - Technical 

(1 Question)

  • Q1. Linear regression? python coding of lists.
Round 2 - Technical 

(1 Question)

  • Q1. Linear regression? python coding

Interview Preparation Tips

Interview preparation tips for other job seekers - brush up on python,machine learning
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Coding Test 

Online hackerrank test. Keep time limit in mond. Sas test was easy for me, only had to keep track of time limit.

Round 3 - Technical 

(1 Question)

  • Q1. Not too difficult. Mainly questioned about the projects mentioned in resume.
Round 4 - Technical 

(1 Question)

  • Q1. Very similar to round 2 but got better clarity on role and ptoject

Interview Preparation Tips

Interview preparation tips for other job seekers - This was for a model development project for bfsi client. The main difficulty was in clearing the online hackerrank test. In case of technical glitch though, hr may allow to take it more than once (for SAS or R Or SQL etc).
Then it was followed by two technical rounds. If you have worked hands on in the projects mentioned in resume, you should be able to clear those rounds easily.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed before Sep 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - One-on-one 

(3 Questions)

  • Q1. Discuss about the projects you have handled
  • Q2. Behavioural Questions
  • Q3. Questions related to domain they are hiring for
Round 3 - One-on-one 

(1 Question)

  • Q1. Scenario based questions

Interview Preparation Tips

Interview preparation tips for other job seekers - You should know how to explain what you have entered on the resume, plus understand the STAR structure to answer the scenario based questions

I applied via Naukri.com and was interviewed in May 2022. There were 4 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 - Coding Test 

SQL + Python test. 8 questions. Need to get 5 correct at least. Moderate difficulty.

Round 3 - One-on-one 

(1 Question)

  • Q1. Questions on profile background and details of projects delivered
Round 4 - HR 

(3 Questions)

  • Q1. 3 to 5 year goals
  • Ans. 

    To become a recognized expert in the field of consulting and contribute to the growth and success of the organization.

    • Obtain advanced certifications in consulting methodologies

    • Lead and successfully deliver complex consulting projects

    • Develop strong relationships with clients and become a trusted advisor

    • Mentor and guide junior consultants to help them grow professionally

    • Contribute to thought leadership by publishing arti

  • Answered by AI
  • Q2. Preferred mode of working
  • Ans. 

    I prefer working in a collaborative environment that encourages open communication and feedback.

    • I enjoy working in a team where everyone's ideas are valued and considered.

    • I appreciate a work culture that fosters open communication and encourages feedback.

    • I am comfortable working independently as well, but I believe that collaboration leads to better results.

    • I am adaptable and can work in different modes depending on th...

  • Answered by AI
  • Q3. Background about fractal

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident of what you put in your CV. Keep your answers more functional, than technical.

I applied via Referral and was interviewed in Mar 2022. There were 5 interview rounds.

Round 1 - Coding Test 

SQL and Python

Round 2 - Technical 

(1 Question)

  • Q1. SQL, python for data analysis
Round 3 - One-on-one 

(1 Question)

  • Q1. SQL and scenario based questions
Round 4 - One-on-one 

(1 Question)

  • Q1. Behavioural Round that sees the cultural fitment
Round 5 - HR 

(1 Question)

  • Q1. Final HR round who sees cultural fitment again

Interview Preparation Tips

Topics to prepare for Fractal Analytics Senior Consultant interview:
  • SQL
  • python
Interview preparation tips for other job seekers - Brush up SQL and Python basics.
Interview experience
4
Good
Difficulty level
Hard
Process Duration
2-4 weeks
Result
Selected Selected
Round 1 - One-on-one 

(1 Question)

  • Q1. Don’t remember the questions
Round 2 - One-on-one 

(1 Question)

  • Q1. Don’t remember the questions
Round 3 - One-on-one 

(1 Question)

  • Q1. Don’t remember the questions
Round 4 - HR 

(1 Question)

  • Q1. Don’t remember the questions
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Nov 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Double-check your resume for any spelling mistakes. The recruiter may consider spelling mistakes as careless behavior or poor communication skills.
View all tips
Round 2 - Coding Test 

SQL questions with emphasis on business understanding

Round 3 - One-on-one 

(1 Question)

  • Q1. Mostly SQL questions, no questions from resume asked
Round 4 - One-on-one 

(1 Question)

  • Q1. Managerial round with questions about job change and roles in Fractal

eligarf Technologies Interview FAQs

How many rounds are there in eligarf Technologies interview for freshers?
eligarf Technologies interview process for freshers usually has 2 rounds. The most common rounds in the eligarf Technologies interview process for freshers are Resume Shortlist and One-on-one Round.
How to prepare for eligarf Technologies interview for freshers?
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 eligarf Technologies. The most common topics and skills that interviewers at eligarf Technologies expect are IT Services, Agile Coaching, Python, SQL and Automation Testing.
What are the top questions asked in eligarf Technologies interview for freshers?

Some of the top questions asked at the eligarf Technologies interview for freshers -

  1. What is insurance? Whats is data annotation? Types of data annotati...read more
  2. They checked my communication, Knowledge about Data annotati...read more
  3. AI questions, SEO-related questions and social media te...read more
How long is the eligarf Technologies interview process?

The duration of eligarf Technologies interview process can vary, but typically it takes about less than 2 weeks to complete.

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eligarf Technologies Interview Process for Freshers

based on 1 interview

Interview experience

4
  
Good
View more

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eligarf Technologies Reviews and Ratings

based on 189 reviews

4.3/5

Rating in categories

4.2

Skill development

4.3

Work-life balance

4.1

Salary

4.1

Job security

4.3

Company culture

4.0

Promotions

4.2

Work satisfaction

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