Empower Data Scientist Interview Questions and Answers

Q1. 1) Formula for Precision and recall
Ans. 
Precision = TP / (TP + FP), Recall = TP / (TP + FN)
• Precision is the ratio of correctly predicted positive observations to the total predicted positive observations

• Recall is the ratio of correctly predicted positive observations to the all observations in actual class

• Example: If a model predicts 100 positive cases, out of which 80 are actually positive, precision = 80/100, recall = 80/total actual positive cases
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Q2. 2) Difference between R2 and adjusted R2
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R2 measures the proportion of variance explained by the model, while adjusted R2 adjusts for the number of predictors in the model.
• R2 is the proportion of variance in the dependent variable that is predictable from the independent variables.

• Adjusted R2 penalizes the addition of unnecessary predictors in the model, providing a more accurate measure of the model's goodness of fit.

• R2 can increase even when adding irreleva...read more
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Q1. Technical ML QUESTIONS
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Q2. PYTHON QUESTIONS
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Q1. Why do you want to join Swiss Re?
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Q2. What makes you a good fit for the role?
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Reinsurance Contracts

Q1. In which situations what type of charts will be used
Ans. 
Charts are used to represent data visually. Different types of charts are used based on the type of data and purpose.
• Line charts for showing trends over time

• Bar charts for comparing values

• Pie charts for showing proportions

• Scatter plots for showing relationships between variables

• Heat maps for showing density or distribution

• Histograms for showing frequency distribution

• Box plots for showing distribution and outliers

• Gantt
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Q2. Few SQL Join questions
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Q1. Self introduction, what's your qualification, how many years of experience.
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I am a highly qualified professional with several years of experience in the field.
• I have a Bachelor's degree in Business Administration.

• I have 5 years of experience working in the finance industry.

• I am skilled in financial analysis, budgeting, and forecasting.

• I have successfully managed large-scale projects and teams.

• I am proficient in various financial software and tools.

• I have a proven track record of achieving targ
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Try to have basic knowledge of computers

Q1. Try to gather as much knowledge as u can about general insurance and TPA
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Q1. Basic details about you, how you convince customer to buy new policy, what will you do if customer not respond you and also dis respect you, etc
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Q1. KPIs used in the project
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Key Performance Indicators (KPIs) are metrics used to evaluate the success of a project.
• KPIs are specific, measurable, achievable, relevant, and time-bound metrics used to track progress towards project goals.

• Examples of KPIs in a data analysis project could include data accuracy, completion time, client satisfaction, and cost savings.

• KPIs help in monitoring and improving the performance of the project team and ensurin
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Q1. Number of rows and columns that can be uploaded in Power BI
Ans. 
Power BI allows uploading up to 1 million rows and 1,500 columns in a dataset.
• Power BI allows uploading a maximum of 1 million rows in a dataset.

• Power BI allows uploading a maximum of 1,500 columns in a dataset.

• Exceeding these limits may result in performance issues.
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Q1. Describe your weakness and strengths
Ans. 
My weakness is overthinking, but my strengths include attention to detail, problem-solving skills, and strong analytical abilities.
• Weakness: tend to overthink situations, which can sometimes lead to indecision

• Strengths: attention to detail, able to identify patterns and trends, strong problem-solving skills, excellent analytical abilities
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