Gramener Junior Data Analyst Interview Questions and Answers

They will give you to study Abode Magento to study.

They will ask you create a presentation and to present it.
Even after getting the job offer and joining the company please don't think that they will confirm your position. Anytime the higher management will ask you to give test and if you don't perform they will ask you to leave.

Q1. What experience do you have in this role?
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Q2. What tools or technologies are you comfortable using?
Ans. 
I am proficient in various data analysis tools, including Excel, SQL, Python, and visualization software like Tableau.
• Excel: Advanced functions, pivot tables, and data visualization.

• SQL: Writing complex queries for data extraction and manipulation.

• Python: Utilizing libraries like Pandas and NumPy for data analysis.

• Tableau: Creating interactive dashboards for data visualization.

• R: Statistical analysis and data visualiza
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Case study analysis and on spot requirements documentation

Q1. What are your achievements?
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Q1. Explain your responsibilities in your previous role in your company
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Q1. What is the pivot table in Excel
Ans. 
A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
• Allows users to summarize and analyze large datasets

• Can easily reorganize data by dragging and dropping fields

• Provides options to calculate sums, averages, counts, etc. for data

• Helps in creating interactive reports and charts

• Useful for identifying trends and patterns in data
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Q2. A pivot table is used to summarize...........etc.
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Q1. How do you handle conflicting stockholder requirements n a project?
Ans. 
I prioritize stakeholder requirements through effective communication, negotiation, and alignment with project goals.
• Identify and document all stakeholder requirements to understand the full scope.

• Facilitate meetings to discuss conflicting requirements and encourage open dialogue.

• Use prioritization techniques, such as MoSCoW (Must have, Should have, Could have, Won't have), to assess the importance of each requirement.

• ...read more
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Based on my CV, they assigned me a task related to data migration.

Q1. Project reviews
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Q2. Attendance regarding
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Q1. What is overfitting in machine learning?
Ans. 
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
• Overfitting happens when a model is too complex and captures noise in the training data.

• It leads to poor performance on unseen data as the model fails to generalize well.

• Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

• ...read more
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Q2. Overfitting accurs when a model learns the details.......etc
Ans. 
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
• Overfitting happens when a model is too complex and captures noise in the training data.

• It leads to poor generalization and high accuracy on training data but low accuracy on new data.

• Techniques to prevent overfitting include cross-validation, regularization, and...read more
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