Aker Solutions Data Analyst Interview Questions and Answers

General engineering discussion about materials

Q1. It's a technical presentation about your project
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Q1. What is decision tree
Ans. 
A decision tree is a flowchart-like structure in which each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label.
• Decision trees are a popular machine learning algorithm used for classification and regression tasks.

• They are easy to interpret and visualize, making them useful for understanding the decision-making process.

• Each internal...read more
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Q2. What are model evaluation metrics?
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Model evaluation metrics are used to assess the performance of machine learning models.
• Model evaluation metrics help in determining how well a model is performing in terms of accuracy, precision, recall, F1 score, etc.

• Common evaluation metrics include accuracy, precision, recall, F1 score, ROC-AUC, confusion matrix, and mean squared error.

• These metrics help in comparing different models and selecting the best one for a...read more
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Q1. Why do you want to work here ?
Ans. 
I am impressed by the company's commitment to innovation and data-driven decision making.
• I admire the company's reputation for using cutting-edge technology in data analysis.

• I am excited about the opportunity to work with a talented team of data analysts.

• I believe my skills and experience align well with the company's goals and values.
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Q2. Why would you be a good fit
Ans. 
I have a strong background in data analysis, excellent problem-solving skills, and a passion for utilizing data to drive business decisions.
• I have a Bachelor's degree in Statistics and experience working with various data analysis tools such as Python, R, and SQL.

• I have a proven track record of successfully analyzing complex data sets and providing actionable insights to stakeholders.

• I am detail-oriented, organized, an...read more
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General engineering discussion about materials

Q1. It's a technical presentation about your project
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Q1. Self introduction and about previous job experiences
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Q1. All related to desktop and power BI
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