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AI Analytics Hub Data Science Intern Interview Questions and Answers

Updated 4 May 2019

AI Analytics Hub Data Science Intern Interview Experiences

1 interview found

Data Science Intern Interview Questions & Answers

user image VEMULA V S MANIDEEP

posted on 4 May 2019

Interview Questionnaire 

6 Questions

  • Q1. General questions about data science career path. Projects, studies, college related if your fresher, Easy to crack
  • Q2. What motivated to you too choose data science?
  • Ans. 

    I chose data science because of its potential to solve complex problems and make meaningful insights from data.

    • Fascination with the power of data to drive decision-making

    • Interest in solving real-world problems using data-driven approaches

    • Passion for exploring patterns and trends in data

    • Desire to contribute to advancements in technology and innovation

    • Excitement about the interdisciplinary nature of data science

    • Examples:...

  • Answered by AI
  • Q3. It's your knowledge check on what written in resume. Hard to crack but not tough
  • Q4. Real-time scenarios for Data science usage General knowledge about machine learning Pandas library related questions
  • Q5. Different types of algorithms used in e-commerce companies
  • Ans. 

    Recommendation, personalization, fraud detection, search algorithms are used in e-commerce companies.

    • Recommendation algorithms suggest products based on user behavior and preferences.

    • Personalization algorithms customize the user experience based on their past behavior.

    • Fraud detection algorithms identify and prevent fraudulent transactions.

    • Search algorithms help users find products based on their search queries.

    • Clusteri...

  • Answered by AI
  • Q6. Market basket analysis algorithm
  • Ans. 

    Market basket analysis algorithm is used to identify the relationship between products frequently purchased together.

    • It is a data mining technique.

    • It helps in identifying the co-occurrence of items in a transactional database.

    • It is used in retail, e-commerce, and marketing industries.

    • It helps in cross-selling and up-selling products.

    • Example: If a customer buys bread, there is a high probability that they will also buy ...

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Logical reasoning, deduction reasoning

Round 2 - Technical 

(2 Questions)

  • Q1. Basic DSA leetcode easy and medium , arrays and hashmaps and LRU cache
  • Q2. SQL queries and DBMS questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Revise DBMS and SQL and it is required
Interview experience
3
Average
Difficulty level
Easy
Process Duration
-
Result
Not Selected

I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Topics like sql, python, aptitude were covered.

Round 2 - Technical 

(1 Question)

  • Q1. Questions from stats, machine learning were asked. Behavioral questions were also covered.

Interview Preparation Tips

Interview preparation tips for other job seekers - It was a good experience but they didnt give any response for my mails. I was worried about the results for 3 weeks and later they told me it was a rejection. When I asked them for reason , they dont have any it seems . Post interview it was horrible experience for me .
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I was interviewed in Dec 2024.

Round 1 - One-on-one 

(4 Questions)

  • Q1. What's the CI/CD workflow that's followed in your team?
  • Ans. 

    Our team follows a CI/CD workflow that includes automated testing, code reviews, and continuous integration.

    • Automated testing is run on every code change to catch bugs early.

    • Code reviews are conducted before merging changes to ensure code quality.

    • Continuous integration is used to automatically build and test code changes in a shared repository.

    • Deployment pipelines are set up to automate the release process.

    • Version cont...

  • Answered by AI
  • Q2. Has there been any security incident and how have you handled those ?
  • Ans. 

    Yes, there have been security incidents and I have handled them effectively.

    • Implemented security protocols to prevent future incidents

    • Conducted thorough investigation to identify the root cause

    • Collaborated with IT team to strengthen security measures

    • Communicated with stakeholders to ensure transparency and trust

    • Provided training to employees on cybersecurity best practices

  • Answered by AI
  • Q3. Difference between authorization and authentication ?
  • Ans. 

    Authentication verifies the identity of a user, while authorization determines what actions a user is allowed to perform.

    • Authentication confirms the identity of a user through credentials like passwords or biometrics.

    • Authorization determines the level of access or permissions a user has once their identity is confirmed.

    • Authentication is the process of logging in, while authorization is the process of granting or denyin...

  • Answered by AI
  • Q4. LLD for an authentication and authorization system
  • Ans. 

    LLD for an authentication and authorization system

    • Separate modules for authentication and authorization

    • Use of secure hashing algorithms for storing passwords

    • Role-based access control implementation

    • Audit logging for tracking user actions

    • Integration with external identity providers

  • Answered by AI
Round 2 - One-on-one 

(1 Question)

  • Q1. Design a document managed storage like google drive as an E2E solution.
  • Ans. 

    Design a document managed storage like Google Drive as an E2E solution.

    • Implement user authentication and authorization for secure access.

    • Create a user-friendly interface for uploading, organizing, and sharing documents.

    • Include features like version control, file syncing, and search functionality.

    • Utilize cloud storage for scalability and accessibility.

    • Implement encryption for data security.

    • Integrate with third-party app

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on the points mentioned in your resume.
Be ready to provide reasons for decisions taken for your resume.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Explain any ML model.
  • Q2. Create Dataframe from two lists.

Interview Preparation Tips

Topics to prepare for Nielsen Data Scientist interview:
  • Python
  • pandas
  • ML
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain the RAG pipeline?
  • Ans. 

    RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.

    • RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria

    • Red category typically represents data that needs immediate attention or action

    • Amber category represents data that requires monitoring or further investigation

    • Green category represents data that...

  • Answered by AI
  • Q2. Explain Confusion metrics
  • Ans. 

    Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.

    • Confusion matrix is a table that describes the performance of a classification model.

    • It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.

    • These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Gen AI projects
  • Q2. Architecture of projects I worked
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

DSA and ML, AI, Coding question

Round 2 - One-on-one 

(1 Question)

  • Q1. Case study which was easy
Round 3 - One-on-one 

(1 Question)

  • Q1. In depth questions on ML
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. Bio activities example
  • Q2. Adverse drug reaction
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Coding Test 

SQL, Python coding …

AI Analytics Hub Interview FAQs

What are the top questions asked in AI Analytics Hub Data Science Intern interview?

Some of the top questions asked at the AI Analytics Hub Data Science Intern interview -

  1. What motivated to you too choose data scien...read more
  2. Different types of algorithms used in e-commerce compan...read more
  3. Market basket analysis algori...read more

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AI Analytics Hub Data Science Intern Salary
based on 5 salaries
₹2 L/yr - ₹4 L/yr
7% less than the average Data Science Intern Salary in India
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