SquadStack Data Analyst Intern Interview Questions and Answers

Q1. Bias variance trade off
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Q2. What is AB testing
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AB testing is a method used to compare two versions of a webpage or app to determine which one performs better.
• AB testing involves creating two versions (A and B) of a webpage or app with one differing element

• Users are randomly assigned to either version A or B to measure performance metrics

• The version that performs better in terms of the desired outcome is selected for implementation

• Example: Testing two different call...read more
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Q3. Basic traditional ML question about ML metrics, bagging boosting etc.
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It was a classification problem

Q1. Questions about assignment
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Q2. Questions from resume.
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Q3. Questions based on probability, statistics and loss functions
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Test time 35 min, based on Python SQL Stats

Q1. Explain ML algorithms
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ML algorithms are mathematical models used to identify patterns and make predictions from data.
• ML algorithms can be supervised, unsupervised, or semi-supervised

• Supervised algorithms include linear regression, decision trees, and neural networks

• Unsupervised algorithms include k-means clustering and principal component analysis

• Semi-supervised algorithms combine elements of both supervised and unsupervised learning

• ML algo...read more
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Q2. Explain SQL joins, explain join in a given situation
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SQL joins are used to combine data from two or more tables based on a related column.
• Joins are used to retrieve data from multiple tables in a single query.

• Common types of joins are inner join, left join, right join, and full outer join.

• Joining tables can be done using the JOIN keyword and specifying the columns to join on.

• Example: SELECT * FROM table1 JOIN table2 ON table1.column = table2.column;

• Joins can be used to c...read more
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Q1. Explain projects you have worked
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Q2. The algorithm used in the project (in my case LSTM)
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The algorithm used in the project is LSTM.
• LSTM stands for Long Short-Term Memory and is a type of recurrent neural network.

• It is commonly used for sequential data analysis such as time series forecasting, speech recognition, and natural language processing.

• LSTM networks have the ability to remember long-term dependencies and avoid the vanishing gradient problem.

• They consist of memory cells, input gates, output gates, a...read more
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Q3. Why LSTM? how does it work?
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LSTM is a type of recurrent neural network that can handle long-term dependencies.
• LSTM stands for Long Short-Term Memory.

• It uses gates to control the flow of information.

• It can remember information for a longer period of time compared to traditional RNNs.

• It is commonly used in natural language processing and speech recognition tasks.

• LSTM has been shown to be effective in predicting stock prices and weather patterns.
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