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Zee Entertainment Enterprises Data Scientist Interview Questions and Answers

Updated 14 Feb 2024

Zee Entertainment Enterprises Data Scientist Interview Experiences

2 interviews found

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Selected Selected

I applied via Campus Placement and was interviewed in Nov 2022. 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 

(4 Questions)

  • Q1. 1. First question was, from my project asked me that explain one project.
  • Ans. I have done three project, out of this three project one project was movie recommendation syatem. That i was explained. Then some counter question from project like how did you convert text to numerical, which technique you used here. I able to give all questions answer from project.
  • Answered by adventurouseggnog
  • Q2. 2. After they asked me, what is your subject preference?
  • Ans. My subject preference was NLP, Deep Learning, ML. Afrer that asked some question from NLP like what is term document matrix, tf-idf, word embedding, Gradient descent, why we have to change learning rate after every epoch, how lr change, precision recall.
  • Answered by adventurouseggnog
  • Q3. 3. My one projcet was sentimental analysis that was by LSTM model. So, next question was explain how LSTM model work and architecture .
  • Ans. Then I was explained workin flow of LST model and architecture. Then asked me did you know bidireectional LSTM. I said yes, then explained.
  • Answered by adventurouseggnog
  • Q4. 4. One question was from sql. what is the condition for primary key? last question one case business case study. this is all about my interview. My interview was 50 min and selected for HR round.
Round 3 - HR 

(1 Question)

  • Q1. Phone call round, just asked me are you interested to come here.
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed before Feb 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Leetcode hard level coding with 4-5 questions

Round 2 - Technical 

(1 Question)

  • Q1. Machine Learning algorithms, Statistics, NLP

Interview Preparation Tips

Interview preparation tips for other job seekers - Study Machine Learning, NLP, Deep Learning. Learn about Generative AI, LLM, Prompt Engineering.

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Interview Preparation Tips

Round: Resume Shortlist
Tips: Not in your hands. Just try to make as good a resume as you can.

Round: Puzzle Interview
Experience: Very common puzzle questions. Had a good chat with the interviewer.
Tips: Make sure you make the interviewer aware of your thought process while solving a problem.

Round: HR Interview
Experience: Again, common questions like why this company? What's the plan 2 years down the line?
Tips: Speak the truth. Never make up anything. Ask questions about your profile.

General Tips: Don't worry about it. Its a great learning experience. Let this learning be accompanied by joy.
Skills: Calmness, Aptitude, Attitude
College Name: Indian Institute of Technology, Bombay
Motivation: Startup environment backed by one of country's biggest corporate house ensures lots of responsibilities and a steep learning curve along with great money.
Funny Moments: The whole puzzle interview was fun.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - HR 

(1 Question)

  • Q1. Tell me about your self
  • Ans. 

    I am a dedicated and detail-oriented professional with a background in marketing and a passion for driving results.

    • Background in marketing

    • Detail-oriented

    • Passion for driving results

  • Answered by AI
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - Group Discussion 

Basic knowledge of the candidates

Round 2 - Coding Test 

Program out put and input question

Round 3 - Case Study 

Giveing a situation and ask for the results

Interview Preparation Tips

Interview preparation tips for other job seekers - Be kind , humble, honest and do your best

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 Preparation Tips

Round: Test
Experience: Basic coding questions which includes if ,for ,while loop questions
Section 2 contains good probability and puzzle problems
Tips: Should have a basic understanding of C/C++
Duration: 75 minutes

Round: Interview
Experience: The questions are of medium difficulty level which can be solved easily with calm and composed mind.
Tips: Solve as many puzzles and probability problems as it is highly likely that some of them may be repeated in your interview.

Skill Tips: Should have a descent knowledge and practise of puzzles and probability
Skills: Problem solving skills
College Name: IIT GUWAHATI

I applied via Campus Placement

Interview Preparation Tips

Round: Resume Shortlist
Experience: Interview was purely technical. Having technical knowledge in analytics and good command on matrix transformations probability and statistics helps.
Tips: Before interview look into basic concepts of analytics such as regression, classification, clustering, etc...

Skills: Probability And Statistics, Ability To Analyse
Duration: 2
College Name: IIT Madras
Motivation: As it is a start up based out of Boston I think I will be a good opportunity to network and also learn about how a company handles data.
Funny Moments: Hr was a North Indian and I am South Indian. There is slight problem for him in pronouncing few words. I had to ask him to repeat the question twice before I answered. It turns out to be a very simple question but we Both struggled

I applied via Recruitment Consultant and was interviewed in Dec 2018. There were 3 interview rounds.

Interview Questionnaire 

11 Questions

  • Q1. 1. Why Machine Learning?
  • Q2. 2. Why did you choose Data Science Field?
  • Ans. 

    I chose Data Science field because of its potential to solve complex problems and make a positive impact on society.

    • Fascination with data and its potential to drive insights

    • Desire to solve complex problems and make a positive impact on society

    • Opportunity to work with cutting-edge technology and tools

    • Ability to work in a variety of industries and domains

    • Examples: Predictive maintenance in manufacturing, fraud detection

  • Answered by AI
  • Q3. 3. What about Linear Regression? (Theory Part)
  • Q4. 4. What is the difference between Linear Regression and Logistic Regression?
  • Ans. 

    Linear Regression is used for predicting continuous numerical values, while Logistic Regression is used for predicting binary categorical values.

    • Linear Regression predicts a continuous output, while Logistic Regression predicts a binary output.

    • Linear Regression uses a linear equation to model the relationship between the independent and dependent variables, while Logistic Regression uses a logistic function.

    • Linear Regr...

  • Answered by AI
  • Q5. 5. Explain Confusion Matrix?
  • Ans. 

    Confusion matrix is a table used to evaluate the performance of a classification model.

    • It is a 2x2 matrix that shows the number of true positives, false positives, true negatives, and false negatives.

    • It helps in calculating various metrics like accuracy, precision, recall, and F1 score.

    • It is useful in identifying the strengths and weaknesses of a model and improving its performance.

    • Example: In a binary classification p...

  • Answered by AI
  • Q6. 6. Can we use confusion matrix in Linear Regression?
  • Ans. 

    No, confusion matrix is not used in Linear Regression.

    • Confusion matrix is used to evaluate classification models.

    • Linear Regression is a regression model, not a classification model.

    • Evaluation metrics for Linear Regression include R-squared, Mean Squared Error, etc.

  • Answered by AI
  • Q7. 7. Explain KNN Algorithm?
  • Ans. 

    KNN is a non-parametric algorithm used for classification and regression tasks.

    • KNN stands for K-Nearest Neighbors.

    • It works by finding the K closest data points to a given test point.

    • The class or value of the test point is then determined by the majority class or average value of the K neighbors.

    • KNN can be used for both classification and regression tasks.

    • It is a simple and easy-to-understand algorithm, but can be compu

  • Answered by AI
  • Q8. 8. Explain Random Forest and Decision Tree?
  • Ans. 

    Random Forest is an ensemble learning method that builds multiple decision trees and combines their outputs to improve accuracy.

    • Random Forest is a type of supervised learning algorithm used for classification and regression tasks.

    • It creates multiple decision trees and combines their outputs to make a final prediction.

    • Each decision tree is built using a random subset of features and data points to reduce overfitting.

    • Ran...

  • Answered by AI
  • Q9. 9. One Tricky Mathematical Question !
  • Q10. 10. What are the Projects you have done?
  • Ans. 

    I have worked on various projects involving data analysis, machine learning, and predictive modeling.

    • Developed a predictive model to forecast customer churn for a telecommunications company.

    • Built a recommendation system using collaborative filtering for an e-commerce platform.

    • Performed sentiment analysis on social media data to understand customer opinions and preferences.

    • Implemented a fraud detection system using anom...

  • Answered by AI
  • Q11. I didn't get shortlisted for 2nd Round.

Interview Preparation Tips

General Tips: anyone who wants to go in data science field should actually be interested in the field not the money. They should be good in Statistics, Probability and Theory part of ML algorithms.
They will ask you about the projects you have mentioned in resume and all the questions will be from that part.
Skills: Communication, Body Language, Problem Solving, Analytical Skills
Duration: 1-4 weeks

Skills evaluated in this interview

I applied via Company Website and was interviewed before May 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Basics of regression, bias variance

Interview Preparation Tips

Topics to prepare for GE Healthcare Data Scientist interview:
  • python
Interview preparation tips for other job seekers - ML basics. Some insight into past projects

Zee Entertainment Enterprises Interview FAQs

How many rounds are there in Zee Entertainment Enterprises Data Scientist interview?
Zee Entertainment Enterprises interview process usually has 2-3 rounds. The most common rounds in the Zee Entertainment Enterprises interview process are Technical, Coding Test and Resume Shortlist.
How to prepare for Zee Entertainment Enterprises 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 Zee Entertainment Enterprises. The most common topics and skills that interviewers at Zee Entertainment Enterprises expect are Deep Learning, Machine Learning, Python and AWS.
What are the top questions asked in Zee Entertainment Enterprises Data Scientist interview?

Some of the top questions asked at the Zee Entertainment Enterprises Data Scientist interview -

  1. 4. One question was from sql. what is the condition for primary key? last quest...read more
  2. 3. My one projcet was sentimental analysis that was by LSTM model. So, next que...read more
  3. Machine Learning algorithms, Statistics, ...read more

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Zee Entertainment Enterprises Data Scientist Interview Process

based on 2 interviews

Interview experience

4.5
  
Good
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Zee Entertainment Enterprises Data Scientist Salary
based on 33 salaries
₹11.9 L/yr - ₹23.1 L/yr
24% more than the average Data Scientist Salary in India
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Zee Entertainment Enterprises Data Scientist Reviews and Ratings

based on 4 reviews

1.2/5

Rating in categories

1.6

Skill development

1.1

Work-life balance

1.2

Salary

1.3

Job security

1.1

Company culture

1.2

Promotions

1.2

Work satisfaction

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