ServiceNow Data Scientist Interview Questions and Answers

Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.

• One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.

• Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.

• Evaluate the model using appropriate...read more

I have implemented several projects in my current organization.

• Developed a predictive model to forecast customer churn

• Built a recommendation system to personalize product recommendations

• Created a fraud detection model to identify fraudulent transactions

• Implemented a natural language processing model for sentiment analysis

• Designed an anomaly detection system to detect network intrusions

Developed a predictive model to identify potential customer churn for a telecom company

• Identified key factors contributing to customer churn through exploratory data analysis

• Built a logistic regression model to predict customer churn with 85% accuracy

• Provided actionable insights to the business team to reduce customer churn and improve customer retention

• Implemented the model in production environment using Python and S

Seeking new challenges and growth opportunities in the field of data science.

• Looking for a more challenging role to further develop my skills and knowledge in data science.

• Interested in exploring new industries and applying data science techniques to solve different problems.

• Seeking a company with a strong data-driven culture and a focus on innovation.

• Want to work with a diverse team of data scientists and learn from t...read more

As a Data Scientist, I analyze and interpret complex data to help businesses make informed decisions.

• I collect and clean data from various sources.

• I use statistical techniques and machine learning algorithms to analyze data.

• I develop predictive models and algorithms to solve business problems.

• I communicate findings and insights to stakeholders through visualizations and reports.

I am motivated to join your company because of the challenging and innovative work environment.

• I am excited about the opportunity to work with cutting-edge technologies and tools in data science.

• Your company's reputation for being at the forefront of data-driven decision making is inspiring.

• I am impressed by the collaborative and diverse team culture that fosters continuous learning and growth.

• The company's commitment ...read more

Seeking new challenges and growth opportunities in the field of data science.

• Looking for a more challenging role to apply and expand my skills

• Interested in working with cutting-edge technologies and techniques

• Seeking a company with a strong data-driven culture

• Want to work on diverse projects and industries to broaden my experience

• Desire to make a bigger impact and contribute to solving complex problems

I chose Infor because of its reputation for innovative technology solutions and its commitment to employee development.

• Infor is known for its cutting-edge technology solutions in the industry.

• I was impressed by Infor's focus on employee growth and development opportunities.

• I believe Infor's values align with my own professional goals and aspirations.

I thrive under pressure by staying organized, prioritizing tasks, and maintaining a positive attitude.

• I stay organized by creating to-do lists and breaking down tasks into manageable steps.

• I prioritize tasks based on deadlines and importance to ensure that critical work is completed first.

• I maintain a positive attitude by taking short breaks to recharge, practicing deep breathing exercises, and seeking support from col

fbprophet is a forecasting model developed by Facebook that uses time series data to make predictions.

• fbprophet is an open-source forecasting tool developed by Facebook's Core Data Science team.

• It is based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.

• fbprophet can be used to forecast traffic by providing historical data on traffic patterns and usi...read more