Hindustan Unilever Data Scientist Interview Questions and Answers

Q1. Project Related
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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
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Q3. Basic Stats Questions
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Q4. Ml Concepts and Basics of Deep Learning
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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

Q1. More about the projects
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Q2. What were the innovative ideas you thought
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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...read more
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Every participant was allowed to speak in sequential matter on a given ethics based imaginary scenario.

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
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Q2. What is Random Forest Classifier?
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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...read more
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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...read more
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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...read more
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Q1. Coding round with mix questions on machine learning
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Q2. Computer vision and nlp based questions
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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
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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
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Q1. Project Related
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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
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Q3. Basic Stats Questions
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Q4. Ml Concepts and Basics of Deep Learning
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Some standard test and aptitude test everyone has to take before being shortlisted for itnerview

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

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