Tiger Analytics Data Scientist Interview Questions and Answers

Iterate through the list and compare each element to find the largest number.

• Iterate through the list using a loop

• Compare each element with a variable storing the current largest number

• Update the variable if a larger number is found

Lasso is a feature selection technique that penalizes the absolute size of the regression coefficients.

• Lasso stands for Least Absolute Shrinkage and Selection Operator

• It adds a penalty term to the regression equation, forcing some coefficients to be exactly zero

• Helps in selecting the most important features and reducing overfitting

• Useful when dealing with high-dimensional data

• Example: In a dataset with multiple fe...read more

Random forest is an ensemble learning method used for classification and regression tasks.

• Random forest is a collection of decision trees that are trained on random subsets of the data.

• Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.

• Random forest is robust to overfitting and noisy data, and can handle large datase...read more

This Python question involves generating a specific pattern using loops and print statements.

• Use nested loops: Outer loop for rows, inner loop for columns.

• Control the number of characters printed based on the row number.

• Example: For a pattern of stars, use '*' in the print statement.

• Consider using string formatting for more complex patterns.

Relevant projects in Data Science and expertise in tools and technologies

• Projects: Predictive modeling, Natural Language Processing, Computer Vision, Recommender Systems, Time Series Analysis

• Tools: Python, R, SQL, Tableau, Hadoop, Spark, TensorFlow, Keras, Scikit-learn

• Technologies: Machine Learning, Deep Learning, Big Data, Cloud Computing, Data Visualization

Credit risk projects assess the likelihood of a borrower defaulting on a loan using data analysis and modeling techniques.

• Data Collection: Gather historical data on borrowers, including credit scores, income, and loan history.

• Feature Engineering: Create relevant features such as debt-to-income ratio and payment history to improve model accuracy.

• Model Selection: Use algorithms like logistic regression or decision t...read more

Decision Tree algorithm is a supervised learning algorithm used for classification and regression tasks.

• Decision Tree algorithm is based on a tree-like model of decisions and their possible consequences.

• It uses a set of rules to split the data into branches and make predictions at the leaf nodes.

• The algorithm selects the best attribute to split the data based on certain criteria like information gain or Gini index...read more

A cross-sell project aims to recommend additional products to existing customers based on their purchase behavior.

• Analyze customer purchase history to identify patterns.

• Use collaborative filtering to suggest products based on similar customers.

• Implement machine learning models to predict which products a customer might buy next.

• Example: If a customer buys a laptop, recommend accessories like a mouse or laptop bag.

• ...read more