Amadeus Data Scientist Interview Questions and Answers

Q1. Asked about some machine learning concepts like NLP, TensorFlow etc
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Q1. How can Logistic regression be applied for multiclasstext classification
Ans. 
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
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Q1. What are the various projects that have you implemented in your current org ?
Ans. 
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
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Q2. How is y9ur project related to business problem and how you have solved it
Ans. 
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
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Q3. Why you are looking out for a change
Ans. 
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
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Q1. Define your work
Ans. 
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.
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Q2. What motivates you to join our company
Ans. 
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
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Q3. Why looking out for a change
Ans. 
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
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Q1. Why did you choose infor
Ans. 
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.
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Q2. Explain how you work under stress
Ans. 
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
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Q1. Everything mentioned on CV
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Q2. Some coding questions
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Q1. Same questions as first interview but deeper approach
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Q2. Coding is involved again
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Standard question from sql and python in hackerrank

Q1. Reverse a linked list
Ans. 
Reverse a linked list by changing the direction of pointers
• Start with three pointers: current, previous, and next

• Iterate through the linked list, updating pointers to reverse the direction

• Return the new head of the reversed linked list
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Q2. Question based on joins and subquery
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Q1. More question about project
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Q2. What do you know about genAI
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Q1. Tell me about your self
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Q1. How does fbpropher forecasting model works and how is can be used to forecsst trafffic
Ans. 
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
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Q1. What are the various projects that have you implemented in your current org ?
Ans. 
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
Answered by AI
Add your answer
Q2. How is y9ur project related to business problem and how you have solved it
Ans. 
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
Answered by AI
Add your answer
Q3. Why you are looking out for a change
Ans. 
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
Answered by AI
Add your answer

Q1. Define your work
Ans. 
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.
Answered by AI
Add your answer
Q2. What motivates you to join our company
Ans. 
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
Answered by AI
Add your answer
Q3. Why looking out for a change
Ans. 
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
Answered by AI
Add your answer