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eClerx Data Scientist Interview Questions, Process, and Tips

Updated 7 Dec 2022

Top eClerx Data Scientist Interview Questions and Answers

View all 6 questions

eClerx Data Scientist Interview Experiences

2 interviews found

I applied via Referral and was interviewed before Dec 2021. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. More ML and DL based questions. What is random forest. What is neural network. Early Stopping, Weights and Bias, Bagging and Boosting.
  • Q2. Linear Regression and Logistics Regression and difference between both.
  • Ans. 

    Linear Regression predicts continuous values while Logistic Regression predicts binary outcomes.

    • Linear Regression is used for predicting continuous values while Logistic Regression is used for predicting binary outcomes.

    • Linear Regression uses a linear approach to model the relationship between dependent and independent variables while Logistic Regression uses a logistic function to model the probability of a binary out...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - The company is fine. Hardly any Data Science projects.

Skills evaluated in this interview

I applied via LinkedIn and was interviewed in Mar 2021. There was 1 interview round.

Interview Questionnaire 

9 Questions

  • Q1. - R2 & adj R2, explain
  • Ans. 

    R2 and adj R2 are statistical measures used to evaluate the goodness of fit of a regression model.

    • R2 measures the proportion of variance in the dependent variable that is explained by the independent variable(s).

    • Adjusted R2 is a modified version of R2 that takes into account the number of independent variables in the model.

    • R2 ranges from 0 to 1, with higher values indicating a better fit.

    • Adjusted R2 can be negative if ...

  • Answered by AI
  • Q2. Naive bayes
  • Q3. Scenario based Q
  • Q4. Explain your last project
  • Q5. Rate yourself in python and deep dive in python programming language
  • Ans. 

    I rate myself 8/10 in Python. I have experience in data manipulation, visualization, and machine learning.

    • Proficient in Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn

    • Experience in data cleaning, preprocessing, and feature engineering

    • Developed machine learning models for classification, regression, and clustering

    • Familiar with deep learning frameworks such as TensorFlow and Keras

    • Implemented neural n...

  • Answered by AI
  • Q6. Hands on on python
  • Q7. Explain logit and why its regression
  • Ans. 

    Logit regression is a statistical method used to model binary outcomes.

    • Logit regression is used when the dependent variable is binary (0 or 1).

    • It models the probability of the dependent variable taking the value 1.

    • It uses the logistic function to transform the linear regression equation into a probability.

    • It is a type of generalized linear model (GLM).

  • Answered by AI
  • Q8. How to do validation of a model
  • Ans. 

    Validation of a model involves testing its performance on new data to ensure its accuracy and generalizability.

    • Split data into training and testing sets

    • Train model on training set

    • Test model on testing set

    • Evaluate model performance using metrics such as accuracy, precision, recall, and F1 score

    • Repeat process with different validation techniques such as cross-validation or bootstrapping

  • Answered by AI
  • Q9. Whats model optimization
  • Ans. 

    Model optimization is the process of improving the performance of a machine learning model by adjusting its parameters.

    • Model optimization involves finding the best set of hyperparameters for a given model.

    • It can be done using techniques like grid search, random search, and Bayesian optimization.

    • The goal is to improve the model's accuracy, precision, recall, or other performance metrics.

    • Model optimization is an iterativ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - All over it was a great interview with mix of answers from myside

Skills evaluated in this interview

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Data Scientist Interview Questions & Answers

LTIMindtree user image Abhishek Srivastav

posted on 16 Mar 2015

Interview Questionnaire 

3 Questions

  • Q1. Code For parse Traingle
  • Ans. 

    Code for parsing a triangle

    • Use a loop to iterate through each line of the triangle

    • Split each line into an array of numbers

    • Store the parsed numbers in a 2D array or a list of lists

  • Answered by AI
  • Q2. Asci value along with alphabets(both capital and small)
  • Ans. 

    The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.

    • ASCII values range from 65 to 90 for capital letters A to Z.

    • ASCII values range from 97 to 122 for small letters a to z.

    • For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.

  • Answered by AI
  • Q3. Would you like to go for Hire studies

Interview Preparation Tips

Round: Test
Experience: First round was through Elitmus.
If you want to be in IT industry must appear it atleast once, for core also u can try it.
It's usually a tough exam but if u are good in maths , apti you will crack it.
Tips: Focus more on Reasoning part. this is the most difficult part.
practise paragraphs reading and solving(Average level)(Infosys level or less)
If you need any kind of help you can contact me via email or can even ring me.
I would recomend everybody to appear this exam with minimum of one month dedicated preparation
Duration: 120 minutes
Total Questions: 60

Round: Coding Round on their own plateform
Experience: It was little difficult to write codes on some other plateform. But time was enough to cope up.
Tips: Try writing as many programs you can write in C, C++ and JAVA not on paper, on compiler . while giving this exam you can select any of these three languages. Based on that your technical Interview will be taken.

Round: Technical Interview
Experience: Its easy one if you have hands on on programing
Tips: Explore and explore .

Round: HR Interview
Experience: Most difficult round for me(I feel myself a little weak in English). But stay calm. And be cheerful.
I still don't know the exact answer of the question but conversation gone for about 20 minutes on this topic.
He din't seem satisfied with me. Btw most of the people says to say no. You can take your call according to the situation.
Tips: Stay calm. Have as much Knowledge about the organisation. Try to make your Intro as much interesting as possible with achivements, hobbies etc. Ya English plays most important role here.

General Tips: Always have faith in yourself. And remember Everything happens for some good reason
Skill Tips: Dont go deep in OS, DBMS but have rough idea about all the topics
Skills: C, C++, DATA STRUCTURE, DBMS, OS
College Name: GANDHI INSTITUTE OF ENGINEERING AND TECHNOLOGY
Motivation: I wanted a job. :)
Funny Moments: A number of stories are there related to this job.
One is I already had an offer so I booked my ticket to home from Bangalore But at very last moment my father told me that you should never miss any chance, go for it. I went and interview date was postponded due to some reasons. I got a mail at 10:30 pm saying I have to attend interview next day morning at 8:30 pm. I ran to get printout of that mail. The venue was 3 hour journey from my place so I din't sleep for the whole night because i knew that if I ll sleep, I would not be able to wake up But I din't studied also because it would have lead to sleep. And Without having sleep and last moment study I made it.

Skills evaluated in this interview

I appeared for an interview before Jul 2021.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Model evaluation and performance metrices
  • Q2. Explaination of bagging and boosting techniques
  • Ans. 

    Bagging and boosting are ensemble techniques used to improve the accuracy of machine learning models.

    • Bagging involves training multiple models on different subsets of the training data and then combining their predictions through voting or averaging.

    • Boosting involves iteratively training models on the same data, with each subsequent model focusing on the samples that the previous models misclassified.

    • Bagging reduces va...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Work on basic concepts and previous projects

Skills evaluated in this interview

I applied via Naukri.com and was interviewed before Jul 2021. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. NLP and Computer Vision based Question were asked.
Round 2 - Technical 

(1 Question)

  • Q1. General Questions on Machine Learning and deployments technique
Round 3 - HR 

(1 Question)

  • Q1. Salary Negotiations and joining discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview questions are subject to current project requirements

Interview Questionnaire 

1 Question

  • Q1. Diffe heilman algorithm
  • Ans. 

    Diffie-Hellman algorithm is a key exchange protocol used to securely exchange cryptographic keys over a public channel.

    • It is based on the concept of discrete logarithm problem.

    • It involves two parties, Alice and Bob, who generate their own private and public keys.

    • The public keys are exchanged and used to generate a shared secret key.

    • The shared secret key is used for encryption and decryption of messages.

    • It is widely use...

  • Answered by AI

Skills evaluated in this interview

I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Explain about your projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewer was looking for Data science experience in infrastructure that is building a solution for remedy ticket

I applied via Job Portal and was interviewed before Jan 2021. There was 1 interview round.

Interview Questionnaire 

3 Questions

  • Q1. Dataset were give and asked to get an overview of data on IDE of your choice and then was asked to explain different steps required for solving classification problem w.r.t. shared data.
  • Q2. Was asked to explain my project and asked different data science techniques like dimensionality reduction, data cleaning approaches etc.. Was also asked to explain internals of algorithm used.
  • Q3. Knowledge of any cloud platform

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for atleast 1 project which you have done thoroughly and know some basic python with pandas

Interview Questionnaire 

1 Question

  • Q1. Good knowledge about Machine Learning algorithms and their mathematical structure.

Interview Preparation Tips

Interview preparation tips for other job seekers - Have a good understanding of the machine learning algorithms along with the mathematical intricacies.

I applied via Naukri.com and was interviewed in Mar 2022. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Question on NER models
  • Q2. Question from project
Round 2 - One-on-one 

(2 Questions)

  • Q1. Critical thinking questions
  • Q2. Case studies based questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on current project and your resume mentioned skills

eClerx Interview FAQs

How many rounds are there in eClerx Data Scientist interview?
eClerx interview process usually has 2 rounds. The most common rounds in the eClerx interview process are Resume Shortlist and One-on-one Round.
How to prepare for eClerx 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 eClerx. The most common topics and skills that interviewers at eClerx expect are Machine Learning, Python, Data Science, Artificial Intelligence and Deep Learning.
What are the top questions asked in eClerx Data Scientist interview?

Some of the top questions asked at the eClerx Data Scientist interview -

  1. Rate yourself in python and deep dive in python programming langu...read more
  2. Explain logit and why its regress...read more
  3. How to do validation of a mo...read more

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eClerx Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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eClerx Data Scientist Salary
based on 60 salaries
₹4.4 L/yr - ₹16.1 L/yr
38% less than the average Data Scientist Salary in India
View more details

eClerx Data Scientist Reviews and Ratings

based on 8 reviews

3.4/5

Rating in categories

2.9

Skill development

3.2

Work-life balance

2.7

Salary

3.2

Job security

3.1

Company culture

2.4

Promotions

2.7

Work satisfaction

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