NTT Data Data Scientist Interview Questions, Process, and Tips

Q1. Which GenAI projects I have worked on
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Q2. What is the context window in LLMs
Ans. 
Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.
• Context window helps LLMs capture dependencies between words in a sentence.

• A larger context window allows the model to consider more context but may lead to increased computational complexity.

• For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo
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Q3. What is top_k parameter
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top_k parameter is used to specify the number of top elements to be returned in a result set.
• top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.

• For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.

• In natural language processing tasks, top_k can be used to limit the number of possible next words in a
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Q4. What are regex patterns in python
Ans. 
Regex patterns in Python are sequences of characters that define a search pattern.
• Regex patterns are used for pattern matching and searching in strings.

• They are created using the 're' module in Python.

• Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.
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Q5. What are iterators and tuples
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Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.
• Iterators are used to loop through elements in a collection, like lists or dictionaries

• Tuples are similar to lists but are immutable, meaning their elements cannot be changed

• Example of iterator: for item in list: print(item)

• Example of tuple: my_tuple = (1, 2, 3)
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Q6. Do I have REST API experience
Ans. 
Yes, I have experience working with REST APIs in various projects.
• Developed RESTful APIs using Python Flask framework

• Consumed REST APIs in data analysis projects using requests library

• Used Postman for testing and debugging REST APIs
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Q1. Questions related to the projects that I have done and some light coding questions.
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Q1. Questions related to my projects
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Q1. What different splitting criterion are applied in decision tree. Why random forest works better ?
Ans. 
Different splitting criteria in decision trees include Gini impurity, entropy, and misclassification error. Random forest works better due to ensemble learning and reducing overfitting.
• Splitting criteria in decision trees: Gini impurity, entropy, misclassification error

• Random forest works better due to ensemble learning and reducing overfitting

• Random forest combines multiple decision trees to improve accuracy and gener...read more
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Q1. Describe the process to generate embedding on your own data set
Ans. 
To generate embeddings on a data set, preprocess the data, choose a suitable embedding method, train the model, and extract the embeddings.
• Preprocess the data by cleaning, tokenizing, and normalizing text data.

• Choose a suitable embedding method such as Word2Vec, GloVe, or FastText.

• Train the embedding model on the preprocessed data to learn the embeddings.

• Extract the embeddings from the trained model to represent the da...read more
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Case Study for Data Analysis for marketing company

Group Discussion on Case Study

Q1. Technical round questions about data analytics
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Q2. Technical round about data analytics
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Q1. DFA Focus :Sorting ,Searching ,Stacks,Queues, HashMaps
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Q2. Os & cn: Process scheduling, TCP/IP, HTTP basics
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