Senior Data Science Analyst Interview Questions and Answers

Interview questions for Senior Analyst Data Science

• Confusion matrix is a table used to evaluate the performance of a classification model

• Recall is the ratio of true positives to the sum of true positives and false negatives

• Precision is the ratio of true positives to the sum of true positives and false positives

• ROC curve is a graphical representation of the performance of a binary classifier

• RFE eliminates features based on their importance to the model

• SQL question may involve ...read more

Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.

• Random forest is a type of ensemble learning method used for classification and regression tasks.

• It builds multiple decision trees during training and combines their predictions to improve accuracy and reduce overfitting.

• Bagging (Bootstrap Aggregating) is a technique used in random forests where each tree is trained on a random subset of the training data.

• Boosting i...read more

Decision tree is a single tree model while random forest is an ensemble of multiple decision trees.

• Decision tree is a single tree model that makes decisions based on splitting data into branches at each node.

• Random forest is an ensemble of multiple decision trees that make predictions by averaging the results of individual trees.

• Decision tree tends to overfit the training data while random forest reduces overfitting by combining multiple trees.

• Random forest is more robust and...read more

Clustering methods group similar data points together based on their characteristics.

• Clustering is an unsupervised learning technique.

• It is used to identify patterns and groupings in data.

• Common clustering methods include k-means, hierarchical, and density-based clustering.

• K-means clustering partitions data into k clusters based on distance from a centroid.

• Hierarchical clustering creates a tree-like structure of nested clusters.

• Density-based clustering identifies areas of hig...read more

Handling conflict involves active listening, communication, empathy, and finding a mutually beneficial solution.

• Listen actively to understand all perspectives

• Communicate openly and honestly

• Show empathy towards others' feelings and viewpoints

• Work towards finding a mutually beneficial solution

• Seek mediation or third-party intervention if necessary