Bidgely Data Analyst Interview Questions and Answers

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 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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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. Tell me about yourself?
Ans. 
I am a dedicated and detail-oriented business analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Business Administration

• I have experience in conducting market research and analyzing data to identify trends

• I am proficient in using tools like Excel, SQL, and Tableau for data analysis

• I have excellent communication skills and can effectively collaborate with cross-functional
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Q2. Some questions on project
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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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Q1. Mostly about projects ml, nlp, python code would be asked
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Q1. It would be focused on technical stuff in detail ml, nlp, deployments etc
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Q1. Organisation fit
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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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Q1. What is the full form of ETL?
Ans. 
ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.
• ETL stands for Extract, Transform, Load

• Extract: Involves extracting data from various sources such as databases, applications, and files

• Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...read more
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Q2. ETL Full form is Exact, Transform, Load.
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