What was some critical feedback you got from a teammate? How did you respond to it?

What is the current pros and cons of AI?

How Do You Ensure Your Data Analysis Findings Are Understandable to Non-Technical Stakeholders?

Can you describe the concepts of overfitting and underfitting in machine learning? Why is it important to address these concerns when building models?

Have You Worked With Cloud-Based Data Platforms Like AWS, Google Cloud, Or Azure?

Describe When You Had To Present Your Findings To A Team Or Client.

What methods have you used for dimensionality reduction in high-dimensional data?

Could you discuss the computational complexity involved in training an SVM? What is the time complexity associated with making predictions using a trained SVM? How does the choice of kernel in an SVM affect the time complexity for both training and inference?

How would you design an algorithm or use AI tools to identify overlapping ancestors between two individuals when analyzing large genealogy datasets?

Can you detail your experience in the field of NLP and the creation of recommender systems?

What is perceptron?

Design a webhook delivery system discussing components, sharding, and fail cases.

Describe A Situation Where You Had To Think Creatively To Solve A Data-Related Challenge.

How proficient are you in SQL databases for managing and manipulating data?

What’s your process for handling missing or corrupted data in a dataset?

Design Slack with a focus on multi-device support and retry mechanisms.

What do you think applications of artificial intelligence are in developing countries?

Tell me about a time you used predictive analytics to solve a business problem.

How Do You Stay Updated with The Latest Trends and Developments in Data Analytics?

How Do You Adapt To Working In A Fast-Paced Environment?