American Express Analyst Interview Questions, Process, and Tips

Q1. Qs on probability, SQL (rank vs dense rank), data science concepts (NLP, xgboost)
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Q1. Explain XGBoost and how it works
Ans. 
XGBoost is a popular machine learning algorithm known for its speed and performance in handling large datasets.
• XGBoost stands for eXtreme Gradient Boosting, which is an optimized implementation of gradient boosting.

• It is based on the gradient boosting framework and uses decision trees as base learners.

• XGBoost is known for its speed and performance due to its efficient implementation of parallel processing and tree prun...read more
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Q1. Case study on Amex
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Requires fast speed in aptitude round

Q1. Explain your CV projects
Ans. 
I have worked on various projects during my career as an Analyst.
• Developed a predictive model to forecast sales for a retail company

• Conducted market research and competitor analysis for a new product launch

• Created a dashboard to track key performance indicators for a financial institution

• Performed data analysis to identify cost-saving opportunities for a manufacturing company
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Q2. Basic ML questions
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Factors to identify fraud transaction

Q1. Fit for the job?
Ans. 
I have a strong analytical background with experience in data analysis and problem-solving.
• Extensive experience in data analysis and interpretation

• Strong problem-solving skills

• Proficient in using analytical tools and software

• Ability to communicate complex data findings effectively
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Q2. Why amex
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I want to work for American Express because of its reputation for innovation, strong company culture, and opportunities for growth.
• Amex is known for its innovative approach to financial services

• I admire the strong company culture and values at Amex

• I see great opportunities for career growth and development at Amex
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