SAP Senior Data Scientist Interview Questions, Process, and Tips

Q1. Difference between ridge and lasso in regression
Ans. 
Ridge and Lasso are regularization techniques in regression to prevent overfitting by adding penalty terms to the cost function.
• Ridge regression adds a penalty term equivalent to the square of the magnitude of coefficients (L2 regularization).

• Lasso regression adds a penalty term equivalent to the absolute value of the magnitude of coefficients (L1 regularization).

• Ridge regression tends to shrink the coefficients toward...read more
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Q1. How to delete a table in the database?
Ans. 
To delete a table in the database, you can use the DROP TABLE statement.
• Use the DROP TABLE statement followed by the table name to delete the table.

• Make sure to backup any important data in the table before deleting it.

• Ensure that you have the necessary permissions to delete the table.
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Basic self evaluation test.

Q1. What project I have completed and follow-up questions on that?
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Q2. How to handle class imbalance.
Ans. 
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
• Use resampling techniques like oversampling or undersampling to balance the classes.

• Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.

• Adjust class weights in the model to give more importance to minority class.

• Use evaluation metrics like F1 score, precision, r...read more
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Q3. Basic Python coding questions.
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Q1. Data-related questions.
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Q2. ML Ops questions.
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Q1. How do you preprocess large/small dataset
Ans. 
Preprocessing large/small datasets involves cleaning, transforming, and organizing data to prepare it for analysis.
• Remove duplicates and missing values

• Normalize or standardize numerical features

• Encode categorical variables

• Feature scaling

• Handling outliers

• Dimensionality reduction techniques like PCA

• Splitting data into training and testing sets
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Q2. Data augmentation
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Q1. Tell me about your self? My name is Sakshi Satish Bayas.
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Q2. What are your Strength? My time management skill exceptional, and I'm well organized, efficient.
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Q3. Why are you interested in this Job? It's an honor and a privilege to work for an established companies like yours. Through this job I can showcase my technical skills to helps company's development.
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Algoritham: one algoritham describe and brief about it.

Q1. Basic pandas questions on dataframes
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Q2. Some quiz questions
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Q1. Questions related to the projects in the resume and some questions on machine learning concepts.
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SQL coding test on HackerRank. Also some questions on previous experience

Case study on a data project