Shapoorji Pallonji Group Data Scientist Interview Questions and Answers

Q1. Tell me about Yourself.
Ans. 
I am a data scientist with a background in statistics and machine learning.
• Background in statistics and machine learning

• Experience with data analysis and visualization tools like Python, R, and Tableau

• Strong problem-solving skills

• Ability to communicate complex technical concepts to non-technical stakeholders
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Q2. Explain your Final Year Project
Ans. 
Developed a predictive model for customer churn in a telecom company using machine learning algorithms.
• Used Python for data preprocessing and model building

• Implemented algorithms like Random Forest and Logistic Regression

• Evaluated model performance using metrics like accuracy and AUC-ROC curve
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Q1. What is difference between lstm and rnn
Ans. 
LSTM is a type of RNN that addresses the vanishing gradient problem by using memory cells.
• RNN stands for Recurrent Neural Network, a type of neural network that processes sequential data.

• LSTM stands for Long Short-Term Memory, a type of RNN that includes memory cells to retain information over long sequences.

• LSTM is designed to overcome the vanishing gradient problem, which occurs when training RNNs on long sequences.

• L...read more
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Q1. What are different evaluation matrix ?
Ans. 
Evaluation matrices are used to assess the performance of models in data science.
• Confusion matrix: used to evaluate the performance of classification models.

• Precision, recall, and F1 score: measures for binary classification models.

• Mean squared error (MSE): evaluates the performance of regression models.

• R-squared: assesses the goodness of fit for regression models.

• Area under the ROC curve (AUC-ROC): evaluates the perfo...read more
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Q1. Tell me about yourself
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Q2. Questions from projects which was mentioned on resume
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Q1. Fitment based questions
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Q2. Explain a project
Ans. 
Developed a machine learning model to predict customer churn for a telecom company.
• Collected and cleaned customer data including usage patterns and demographics

• Used classification algorithms like Random Forest and Logistic Regression to build the model

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

Q1. Asked me about expected salary
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Python programming for 45 for minutes

Q1. What are the hyperparameters of SVM
Ans. 
Hyperparameters of SVM include C, kernel, gamma, degree, and coef0.
• C: Regularization parameter that controls the trade-off between achieving a low error on the training data and minimizing model complexity.

• Kernel: Specifies the type of hyperplane used to separate the data.

• Gamma: Kernel coefficient for 'rbf', 'poly', and 'sigmoid' kernels.

• Degree: Degree of the polynomial kernel function.

• Coef0: Independent term in kernel...read more
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Q2. How to tune that hyperparameters
Ans. 
Hyperparameters can be tuned using techniques like grid search, random search, and Bayesian optimization.
• Grid search: Exhaustively search through a specified subset of hyperparameters.

• Random search: Randomly sample hyperparameter combinations.

• Bayesian optimization: Use probabilistic models to predict the performance of different hyperparameter configurations.
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Maths, logical reasoning, 1.5 hrs

Q1. About sql joins, python sets, lists, etc
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Q2. Queries, union etc
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Q3. Project related questions
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Piraamal finance jnlnm knkn

Q1. What is sql? and where to use
Ans. 
SQL is a programming language used for managing and manipulating relational databases.
• SQL stands for Structured Query Language

• Used to retrieve, update, and manage data in relational databases

• Commonly used in data analysis, data manipulation, and data reporting

• Examples: SELECT * FROM table_name, INSERT INTO table_name VALUES (value1, value2)
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Q2. Power bi description and its imp
Ans. 
Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities.
• Power BI allows users to connect to a wide variety of data sources and create interactive reports and dashboards.

• Users can easily share their insights with others and collaborate in real-time.

• It offers features like data modeling, data preparation, and data visualization to help organizatio...read more
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Q1. Explain about some of visualization tools
Ans. 
Visualization tools are software applications used to create graphical representations of data for easier understanding and analysis.
• Popular visualization tools include Tableau, Power BI, and Google Data Studio.

• These tools allow users to create interactive charts, graphs, and dashboards.

• They support various data sources and formats, making it easy to import and visualize data.

• Visualization tools help in identifying pat...read more
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Mettle test and mcq were given in interview