Give your introduction first. You may then be asked to explain your relevant project in detail.

The actual interview started with basic ML questions, such as:

• Hyperparameters
• Feature engineering
• LSTM
• Gradient boost
• K-nearest neighbors
• Clustering

etc.

Then, it moved onto DSA: one question on heaps and another on dynamic programming plus graphs.

Started with basic ML questions, covering topics like hyperparameters, feature engineering, LSTM, gradient boost, K-nearest neighbors, and clustering.

Then moved onto DSA, with one question on heaps and another on dynamic programming plus graphs.