AI-powered Business Analyst mock interviews

How do you approach feature selection in a machine learning model to ensure optimal performance and interpretability, and can you discuss a specific scenario where your feature selection strategy led to significant improvements in model accuracy?

Can you explain the process you follow to identify and handle outliers in a dataset, and provide an example of how you have successfully dealt with outliers in a previous project?

How do you ensure that the business process models you create are aligned with the overall strategic goals of the organization? Can you provide an example of a time when you had to make adjustments to a process model to better align with strategic objectives?

Can you explain the difference between 'as-is' and 'to-be' process modeling and provide an example of when you have used each approach in a real-world scenario?

Explain a scenario where you had to deal with missing data in a dataset and describe the approach you took to impute or handle the missing values effectively.

Given a dataset with multiple variables, how would you identify and handle outliers in the data to ensure accurate analysis results?

Given a dataset of financial transactions, how would you identify outliers and anomalies using statistical methods? Please explain the process and any specific techniques you would apply.

Can you walk me through your approach to forecasting sales figures for a retail company? What factors do you consider, and how do you validate the accuracy of your predictions?

Describe a situation where you had to communicate a complex idea to a non-technical stakeholder. How did you ensure effective communication and understanding? What strategies did you use to overcome any potential misunderstandings?

Can you provide an example of a time when you had to navigate a challenging team dynamic to successfully deliver a project? How did you approach the situation and what was the outcome?