Mirafra Technologies Data Analyst Interview Questions and Answers

Few standard dsa questions were asked.

Q1. Explain projects
Ans. 
Projects are specific tasks or assignments that require a set of skills and resources to achieve a particular goal or outcome.
• Projects involve defining objectives and deliverables

• They require planning, execution, and monitoring

• Projects often have timelines and budgets

• Examples: Data analysis project to identify customer trends, Project to implement a new software system
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Q2. Introduce urself
Ans. 
I am a data analyst with a strong background in statistics and data visualization.
• I have a Bachelor's degree in Statistics from XYZ University.

• I have 3 years of experience working as a data analyst at ABC Company.

• Proficient in using tools like Excel, SQL, and Tableau for data analysis.

• I have experience in creating reports and dashboards to present data insights to stakeholders.
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Q1. Create dataframe and perform data manipulations operations on it.
Ans. 
Creating a dataframe and performing data manipulations in Python using pandas library.
• Import pandas library

• Create a dictionary with data

• Convert dictionary to dataframe using pd.DataFrame()

• Perform operations like filtering, sorting, grouping, etc.
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Q1. What is Adaboost?
Ans. 
Adaboost is a machine learning algorithm that combines multiple weak learners to create a strong learner.
• Adaboost stands for Adaptive Boosting.

• It works by adjusting the weights of incorrectly classified instances so that subsequent weak learners focus more on them.

• The final prediction is made by combining the predictions of all the weak learners, weighted by their accuracy.

• Example: Adaboost is commonly used in face det
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Q2. Print the binary tree in different order
Ans. 
Printing a binary tree in different orders
• Use inorder traversal to print the binary tree in ascending order

• Use preorder traversal to print the binary tree in root-left-right order

• Use postorder traversal to print the binary tree in left-right-root order
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Q1. Asked basic question about my technical field
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Q1. Asked basic question about my technical field
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Q1. Basic about python
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30 MCQ asked in Big Data

Q1. Simple sql question on group by clause, simple coding question ,
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Q2. Finding kth largest element in array
Ans. 
Finding kth largest element in array
• Sort the array in descending order and return the element at index k-1

• Use a max heap to find the kth largest element

• Implement quickselect algorithm to find the kth largest element
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Q1. Basic questions.
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Q2. What you will do with huge volume of data.
Ans. 
I will use various techniques like data preprocessing, storage optimization, and distributed computing to handle and analyze the huge volume of data.
• Implement data preprocessing techniques like data cleaning, data transformation, and data integration to ensure data quality.

• Utilize storage optimization techniques like data compression and partitioning to efficiently store and retrieve large volumes of data.

• Leverage dist...read more
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