Bloom Energy Interview Questions and Answers

Developed a predictive model to forecast customer churn for a telecommunications company.

• Used historical customer data to train the model

• Applied machine learning algorithms such as logistic regression and random forest

• Evaluated model performance using metrics like accuracy, precision, and recall

The questions cover topics related to heat exchangers, types of distillation, modes of heat transfer, and basic engineering concepts.

• Types of heat exchangers include shell and tube, plate heat exchangers, and double pipe heat exchangers.

• Corrosive liquids are typically charged on the tube side of a heat exchanger.

• The number of tubes in a heat exchanger can be calculated based on the required heat transfer area and tube ...read more