{"blocks": [{"key": "1fa0dc10", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "bdb84b49", "text": "Technical round focused on past ML projects", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "3fecb30a", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "05c26edf", "text": "Describe a machine-learning model you built in a recent project. What business problem did it solve? What technical challenges arose and how did you diagnose and address them? How did you evaluate the model’s performance and decide on deployment?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "64d65ca5", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f9b4027d", "text": "Cover data understanding, feature engineering, model choice, metrics, iteration, and impact.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}