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Hindustan Unilever Senior Data Scientist Interview Questions and Answers

Updated 21 Jun 2024

Hindustan Unilever Senior Data Scientist Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed before Jun 2023. There were 4 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Resume projects
  • Q2. Logistic regression
Round 2 - Technical 

(1 Question)

  • Q1. ML questions- Logistic regression derivation
Round 3 - Case Study 

Forecasting of products demands

Round 4 - One-on-one 

(1 Question)

  • Q1. ML questions and project discussion

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Coding round with mix questions on machine learning
  • Q2. Computer vision and nlp based questions
Round 2 - HR 

(2 Questions)

  • Q1. Tel me about your family background
  • Ans. 

    I come from a close-knit family with a diverse background.

    • My parents are both immigrants from different countries, which has given me a unique perspective on different cultures.

    • I have two siblings, one older and one younger, who have always been supportive of my career choices.

    • Family gatherings are always filled with laughter and delicious homemade food.

    • My family has always emphasized the importance of education and ha

  • Answered by AI
  • Q2. Why do you want to join us
  • Ans. 

    I am excited about the innovative projects and collaborative team at your company.

    • I am impressed by the cutting-edge technology and data-driven approach of your company.

    • I believe my skills and experience align well with the challenges and opportunities at your company.

    • I am eager to work with a talented team and contribute to impactful projects.

    • Your company's reputation for fostering a culture of learning and growth is

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

(4 Questions)

  • Q1. Project Related
  • Q2. Challenges Faced
  • Ans. 

    Handling large volumes of data, ensuring data quality, and interpreting complex data.

    • Dealing with unstructured data from various sources

    • Ensuring data quality and accuracy through data cleaning and preprocessing

    • Interpreting complex data and deriving meaningful insights

    • Implementing machine learning algorithms to analyze data

    • Communicating findings to non-technical stakeholders

  • Answered by AI
  • Q3. Basic Stats Questions
  • Q4. Ml Concepts and Basics of Deep Learning
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
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 - Aptitude Test 

It has behavioural and ability to focus rounds where behavioural have several questions repeated in different forms and answers in different categories. Choose extreme ones, it shows your confidence and clarify

Round 3 - Technical 

(3 Questions)

  • Q1. More about the projects
  • Q2. What were the innovative ideas you thought
  • Q3. How would you calculate impact of a project
  • Ans. 

    Calculate impact of a project by analyzing key metrics and outcomes.

    • Identify key metrics to measure impact such as revenue, cost savings, customer satisfaction, etc.

    • Quantify the baseline performance before the project and compare it to the performance after the project.

    • Use statistical analysis to determine the significance of the project's impact.

    • Consider both short-term and long-term effects of the project.

    • Seek feedba...

  • Answered by AI

Data Science Intern Interview Questions & Answers

ITC user image Avishkar Avishkar

posted on 17 Dec 2024

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

I was interviewed before Dec 2023.

Round 1 - Group Discussion 

Every participant was allowed to speak in sequential matter on a given ethics based imaginary scenario.

Round 2 - Technical 

(2 Questions)

  • Q1. How to handle missing data in a dataset?
  • Ans. 

    Missing data can be handled by imputation, deletion, or using algorithms that can handle missing values.

    • Imputation: Fill missing values with mean, median, mode, or using predictive modeling.

    • Deletion: Remove rows or columns with missing values.

    • Algorithms: Use algorithms like Random Forest, XGBoost, or LightGBM that can handle missing values.

    • Consider the reason for missing data and choose the appropriate method for handl

  • Answered by AI
  • Q2. What is Random Forest Classifier?
  • Ans. 

    Random Forest Classifier is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy.

    • Random Forest is a collection of decision trees that work together to make predictions.

    • Each tree in the Random Forest is built using a subset of the training data and a random subset of features.

    • The final prediction is made by aggregating the predictions of all the individual trees, usually th...

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. How to choose a project out of the 2 for execution in your organization?
  • Ans. 

    Choose the project based on alignment with organizational goals, available resources, and potential impact.

    • Consider the alignment of the project with the organization's goals and objectives.

    • Evaluate the available resources such as data, expertise, and time for each project.

    • Assess the potential impact of each project on the organization's success and growth.

    • Prioritize projects that have clear deliverables, measurable ou...

  • Answered by AI
  • Q2. What would you do if your manager is opposed to execution of a project?
  • Ans. 

    I would try to understand the reasons behind the opposition and work towards finding a solution that addresses concerns.

    • Initiate a discussion with the manager to understand their concerns and reasons for opposition

    • Present a detailed analysis of the project, highlighting its potential benefits and addressing any potential risks or drawbacks

    • Propose alternative solutions or adjustments to the project plan that may allevia...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Always be ready with typical managerial and strategy questions. Put lots of attention in your strategic management and HR fundamentals classes.

Interview Questionnaire 

2 Questions

  • Q1. Why we need to method validation
  • Ans. 

    Method validation ensures accuracy, precision, and reliability of analytical results.

    • To ensure that the method is suitable for its intended use

    • To ensure that the method is accurate, precise, and reliable

    • To comply with regulatory requirements

    • To minimize the risk of producing incorrect results

    • To ensure consistency in results over time and across different laboratories

    • Examples: validation of analytical methods used in pha...

  • Answered by AI
  • Q2. You should know regulatory guidelines

Interview Preparation Tips

Interview preparation tips for other job seekers - Try to lean basic skill related to analytical research

I applied via Naukri.com and was interviewed in Apr 2021. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Centroid activation function
  • Ans. 

    Centroid activation function is used in clustering algorithms to determine the centroid of a cluster.

    • Centroid activation function is used in unsupervised learning algorithms like K-means clustering.

    • It calculates the centroid of a cluster by taking the mean of all the data points in the cluster.

    • The function is used to update the centroid in each iteration of the clustering algorithm.

    • It is a simple and efficient way to f

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Asking To deep If your flow wrong

Skills evaluated in this interview

I was interviewed before Jul 2020.

Interview Questionnaire 

2 Questions

  • Q1. Knowledge about the products development what I handeled
  • Q2. You can thought how grow the categories which will handover to you and what benefits to company

Interview Preparation Tips

Interview preparation tips for other job seekers - Always share actual what U are and what you have.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Company Website and was interviewed before Dec 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 - Technical 

(1 Question)

  • Q1. How do you use your creativity and technical knowledge to solve problems at your work place?
Interview experience
3
Average
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Sep 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Some standard test and aptitude test everyone has to take before being shortlisted for itnerview

Round 2 - Technical 

(2 Questions)

  • Q1. Name github commands
  • Ans. 

    GitHub commands are used to interact with repositories on GitHub platform.

    • git clone : Clone a repository to your local machine

    • git add : Add a file to the staging area

    • git commit -m 'commit message': Commit changes to the repository

    • git push origin : Push changes to a remote repository

    • git pull origin : Pull changes from a remote repository

Answered by AI
  • Q2. DE questions like how to you deploy
  • Interview Preparation Tips

    Interview preparation tips for other job seekers - the interview was from the DE team and he asked more on automation rather than ds knowledge.

    Skills evaluated in this interview

    Hindustan Unilever Interview FAQs

    How many rounds are there in Hindustan Unilever Senior Data Scientist interview?
    Hindustan Unilever interview process usually has 4 rounds. The most common rounds in the Hindustan Unilever interview process are Technical, Case Study and One-on-one Round.
    How to prepare for Hindustan Unilever Senior 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 Hindustan Unilever . The most common topics and skills that interviewers at Hindustan Unilever expect are Analytics, Data Management, Data Science, Forecasting and Information Management.
    What are the top questions asked in Hindustan Unilever Senior Data Scientist interview?

    Some of the top questions asked at the Hindustan Unilever Senior Data Scientist interview -

    1. ML questions- Logistic regression derivat...read more
    2. ML questions and project discuss...read more
    3. Logistic regress...read more

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