Zensar Technologies Senior Data Analyst Interview Questions and Answers

3 questions are there.

Q1. Basic python and SQL queries
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Q1. Advance SQL & Excel Questions
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Q1. Compensation discussion
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Assignments using LLM usecase

Q1. Questions about assignments and ML topics
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Q1. Mostly from basic sql
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Q1. Mostly basic sql
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Q1. What is regression , classification
Ans. 
Regression is a statistical method to predict continuous outcomes, while classification is used to predict categorical outcomes.
• Regression is used when the target variable is continuous, such as predicting house prices based on features like size and location.

• Classification is used when the target variable is categorical, like predicting whether an email is spam or not based on its content.

• Regression models include lin...read more
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Q2. NLP techniques and text classification algorithms and techniques like word embeddings
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Q1. Hyper parameters for classification algorithms
Ans. 
Hyper parameters are settings that are set before the learning process begins and affect the learning process itself.
• Hyper parameters are not learned during the training process, but are set before training begins.

• They control the learning process and impact the performance of the model.

• Examples include learning rate, number of hidden layers, and batch size in neural networks.
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Q2. How to improve efficiency of models
Ans. 
Improving model efficiency involves feature selection, hyperparameter tuning, and ensemble methods.
• Perform feature selection to reduce dimensionality and focus on relevant features

• Optimize hyperparameters using techniques like grid search or random search

• Utilize ensemble methods like bagging or boosting to improve model performance

• Consider using more advanced algorithms like deep learning for complex data patterns
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Q1. Why do you want to join Sutherland?
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Q2. What is your salary expectation?
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