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ITC Data Science Intern Interview Questions and Answers
ITC Data Science Intern Interview Experiences
1 interview found
Avishkar Avishkar
Selected
I was interviewed before Dec 2023.
Every participant was allowed to speak in sequential matter on a given ethics based imaginary scenario.
(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
- 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...
(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...
- 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...
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Data Science Intern Interview Questions & Answers
Hindustan Unilever
Anonymous
posted on 17 Oct 2023
Selected
I applied via Company Website and was interviewed in Apr 2023. There were 3 interview rounds.
Written test testing logical abilities
(2 Questions)
- Q1. Asked basics of ML
- Q2. Additionally asked basic statistics based questions
Data Scientist Interview Questions & Answers
Colgate Palmolive
Shalom Thilagarajan
posted on 15 Oct 2024
(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
- Q3. Basic Stats Questions
- Q4. Ml Concepts and Basics of Deep Learning
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
(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...
I applied via LinkedIn and was interviewed in Sep 2023. There were 2 interview rounds.
Some standard test and aptitude test everyone has to take before being shortlisted for itnerview
(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
- Q2. DE questions like how to you deploy
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Skills evaluated in this interview
Senior Data Scientist Interview Questions & Answers
Hindustan Unilever
Anonymous
posted on 21 Jun 2024
I applied via Approached by Company and was interviewed before Jun 2023. There were 4 interview rounds.
(2 Questions)
- Q1. Resume projects
- Q2. Logistic regression
(1 Question)
- Q1. ML questions- Logistic regression derivation
Forecasting of products demands
(1 Question)
- Q1. ML questions and project discussion
Data Science Intern Interview Questions & Answers
Hindustan Unilever
Anonymous
posted on 17 Oct 2023
Selected
I applied via Company Website and was interviewed in Apr 2023. There were 3 interview rounds.
Written test testing logical abilities
(2 Questions)
- Q1. Asked basics of ML
- Q2. Additionally asked basic statistics based questions
Selected
I applied via Referral and was interviewed before Jun 2023. There were 4 interview rounds.
Data Science MCQ questions
Building a baseline ML model with EDA etc.
(2 Questions)
- Q1. How do you analyse outliers?
- Ans.
Outliers can be analyzed using statistical methods like Z-score, IQR, or visualization techniques like box plots.
Calculate Z-score and identify data points with Z-score greater than a certain threshold as outliers.
Use Interquartile Range (IQR) to detect outliers by identifying data points outside 1.5 * IQR range.
Visualize data using box plots to identify any data points that fall outside the whiskers.
Consider domain kn...
- Q2. Tell me about a time when what you found did not match expectation with what you thought analysing the dataset.
(2 Questions)
- Q1. Why Unilever now?
- Q2. Where do you see yourself in 5 years?
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