Interview part 2 - Pick 3 words from a list and explain them to an audience who does not know data science. Word list included Machine learning Variance Version control Command line
Director Cientifico Interview Questions
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Technical interview Part 1 - General Data science - Google Colab notebook - Install packages (pandas, numpy, matplotib) - Download and import dataset (bike share company dataset) - Provide a sample of the data - Show a summary of the dataset. Be able to explain datatypes - Explain interquartile ranges - Extract distribution of a single column - Create a chart with this data - Describe the distribution of data - Describe correlation coefficient Part 2 - Machine Learning - View a machine learning model and explain how it works - View code for linear regression and be able to explain the math behind it.
1. What is overfitting? 2. What is L1 and L2 norm? 3. Describe difference between CNN and DNN (Fully connected network) 4. Describe the difference between Gradient boosting and random forest. 5. What is a random forest? 6. Describe the difference between Gradient boosting and XGBoost.
How does a decision tree work? Describe in detail.
How does AmEx make money? What are AmEx's expenses?
Situations in which I managed difficult employees with hi potential (with positive and negative outcomes)
What is the biomedical research question that keeps you up at night? How would you go about solving it?
Describe my current experience, management style, salary expectation
Q: Design the marketplace from the engineering standpoint and some questions about each component.
1. How many DS projects worked till date. 2. What is confusion matrix. 3. What is correlation. 4. Have you worked in marketing/sales?
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