Powerplay Data Analyst Interview Questions and Answers

Q1. Details about the projects in your resume
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Q2. MYSQL codes in window function
Ans. 
MYSQL window functions allow for calculations across rows in a result set.
• Window functions are used to perform calculations across rows in a result set

• They are used with the OVER() clause

• Examples include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE()

• They can be used to calculate running totals, moving averages, and more
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Q3. Mostly questions related to cricket tables which was told to be assumed
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SQL, excel, tableau , looker studio

Q1. What is your notice period.
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Q1. Difference between logistic regression and svm
Ans. 
Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
• Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.

• SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.

• Logistic regression is more interpretable and easier to implement...read more
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Q2. Data augmentation related questions
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SQL based leetcode medium and hackerrank

Python take home EDA case study assessment

Q1. SQL based questions
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Q2. Guesstimate on estimating # users on the application
Ans. 
Estimate the number of users on the application based on market research, user demographics, and industry trends.
• Consider the total addressable market (TAM) for the application

• Analyze user demographics and behavior to estimate adoption rate

• Look at industry benchmarks and competitor data for reference

• Use surveys, focus groups, and user feedback to gather insights

• Consider factors like market saturation, growth potential,
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Basic coding qns and aptitude questions which can be done easily

They gave guesstimate questions where scenarios will be given and you have to give an approximate estimate to it based on various factors

Q1. What is LLM how do you fine tune them
Ans. 
LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.
• LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.

• Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.

• Fine tuning also involves training the LLM on specific data related to the task at hand, such as ...read more
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Q2. What is RAG and its working?
Ans. 
RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.
• RAG is commonly used in project management to quickly communicate the status of tasks or projects.

• Red typically indicates tasks or projects that are behind schedule or at risk, Amber indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or complet...read more
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50 questions need to do in 15 mins.

Q1. Hr round easy asked to solve easy puzzle and guestimate.
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Q1. Onsite interview where they give you task that is irrelevant.
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