Concentrix Catalyst Data Scientist Interview Questions and Answers

TF-IDF is a statistical measure used to evaluate the importance of a word in a document.

• TF-IDF stands for Term Frequency-Inverse Document Frequency

• It is used to weigh a word's importance in a document by considering its frequency in the document and across all documents

• The formula for TF-IDF is: TF-IDF = TF * IDF

• TF (Term Frequency) measures how frequently a term appears in a document

• IDF (Inverse Document Frequency) mea...read more

Group by is used to group data based on a column while window function is used to perform calculations on a specific window of data.

• Group by is used to aggregate data based on a specific column

• Window function is used to perform calculations on a specific window of data

• Group by is used with aggregate functions like sum, count, avg, etc.

• Window function is used with analytical functions like rank, lead, lag, etc.

• Group by ...read more

Developed a predictive model to forecast customer churn for a telecom company.

• Used machine learning algorithms like logistic regression and random forest.

• Preprocessed and cleaned the dataset by handling missing values and outliers.

• Performed feature engineering to create new variables for better model performance.

• Evaluated model performance using metrics like accuracy, precision, and recall.

• Implemented the model in prod

Seeking new challenges and opportunities for growth.

• Looking for a more challenging role that aligns with my career goals.

• Seeking a company that values innovation and encourages professional development.

• Want to work in a more collaborative and diverse team environment.

• Desire to explore new technologies and industries.

• Current company lacks opportunities for advancement or career growth.