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Agility E Services Data Scientist Interview Questions and Answers

Updated 26 Aug 2017

Agility E Services Data Scientist Interview Experiences

2 interviews found

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

I was interviewed in Apr 2017.

Interview Questionnaire 

2 Questions

  • Q1. Past and current projects work, and few basic machine learning concepts
  • Q2. Questions about machine learning concepts, E.g. classification, regression, clustering, over fitting vs under fitting, boosting etc.

Interview Preparation Tips

Round: Technical Interview
Experience: It was telephonic interview, started with introduction, asked me about projects, technologies.
Tips: Know your projects work in detail.

Round: Technical Interview
Experience: It was video conferencing. Interviewer was very informal that made me relaxed and comfortable, asked me various questions on data science, I tried to answer those with how I used those concept in my projects work. It ended on positive note.
Tips: Be truthful, don't assume anything.

College Name: IIT Guwahati

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Interview questions from similar companies

I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Which job gives me do that work because of this job very important to me

Interview Preparation Tips

Interview preparation tips for other job seekers - No adive

Interview Questionnaire 

1 Question

  • Q1. What PCA, Decision tree and computer vision
  • Ans. 

    PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.

    • PCA is used to reduce the number of variables in a dataset while retaining the most important information.

    • Decision trees are used to classify data based on a set of rules and conditions.

    • Computer vision involves usin...

  • Answered by AI

Skills evaluated in this interview

I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Nothing much technical

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Go in formals
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about

Interview Questionnaire 

1 Question

  • Q1. Basic ML

Interview Questionnaire 

1 Question

  • Q1. First Round: Basic Statistics, Basic Python Programming, Past Projects. Second Round: Past Projects, Questions from computer vision, NLP, SQL, Basic Python.

I applied via Job Portal and was interviewed in Jan 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Basic Hypothesis Understanding !
  • Q2. Apache Spark and Data Frames

Interview Preparation Tips

Interview preparation tips for other job seekers - Ask clearly for job role they said data scientist but currently I am doing MLOPS
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

60 min hackerrank test,with one mysql medium difficulty question and one python medium/little hard level difficulty

Round 2 - One-on-one 

(1 Question)

  • Q1. Technical covering each topic from stats, python, ml, dl, nlp,project
Round 3 - One-on-one 

(1 Question)

  • Q1. Project-related in-depth discussion, few case scenarios, stats question
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed before Feb 2023. There was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. What are hyperparameters in random forest
  • Ans. 

    Hyperparameters in random forest are parameters that are set before the learning process begins.

    • Hyperparameters control the behavior of the random forest algorithm.

    • They are set by the data scientist and are not learned from the data.

    • Examples of hyperparameters in random forest include the number of trees, the maximum depth of trees, and the number of features considered at each split.

  • Answered by AI
  • Q2. How to do QnA system with LLM
  • Ans. 

    A QnA system with LLM is a system that uses the Language Model for Information Retrieval and Question Answering.

    • Preprocess the input question and convert it into a format suitable for the LLM model.

    • Fine-tune the LLM model on a dataset of question-answer pairs.

    • Use the fine-tuned model to generate answers for new questions.

    • Evaluate the performance of the QnA system using metrics like precision, recall, and F1 score.

    • Itera...

  • Answered by AI
  • Q3. How to do unit testing
  • Ans. 

    Unit testing is a process of testing individual units of code to ensure they function correctly.

    • Write test cases for each unit of code

    • Test inputs, outputs, and edge cases

    • Use testing frameworks like JUnit or pytest

    • Automate tests to run regularly

    • Ensure tests are independent, isolated, and repeatable

  • Answered by AI

Skills evaluated in this interview

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Agility E Services Interview FAQs

How to prepare for Agility E Services 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 Agility E Services. The most common topics and skills that interviewers at Agility E Services expect are Artificial Intelligence, Machine Learning and Power Bi.
What are the top questions asked in Agility E Services Data Scientist interview?

Some of the top questions asked at the Agility E Services Data Scientist interview -

  1. Questions about machine learning concepts, E.g. classification, regression, clu...read more
  2. Past and current projects work, and few basic machine learning conce...read more
  3. Questions about current and past projects and machine learning concep...read more

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Agility E Services Data Scientist Salary
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₹7.5 L/yr - ₹14 L/yr
21% less than the average Data Scientist Salary in India
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