MasterCard Data Science Intern Interview Questions and Answers

1 python and 1 SQL coding along with ML questions mostly related to monitoring and basic ML

1 python code and also related to ML ...the recruiter came with a dataset to solve

Guestimates, project discussions and Case Studies

Project indepth discussion and case study related Fraud Detection

Q1. Aligning own interest with team requirement
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Q1. Discussion on linear regression and regularisation techniques
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Q2. Discussion on tree based models and measures to score the models
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Q1. DBSCAN Clustering
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Q2. How does current work helps solving use cases for PayU
Ans. 
My current work involves analyzing transaction data to identify patterns and trends, which can help PayU optimize their payment processing services.
• Analyzing transaction data to identify fraudulent activities and improve security measures for PayU

• Developing predictive models to forecast transaction volumes and optimize payment processing times

• Utilizing machine learning algorithms to personalize user experiences and inc...read more
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Q1. Details about past projects
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Q2. Details about latest project
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Q1. ML algorithms and basic python coding
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Q1. SQL and Project related
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Q1. Salary discussion
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We were trained for 2 weeks on web dev. and data science and were given individual 2 projects, according to the performance on them and a final interview, candidates were selected.

Q1. All about the assignment done
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Q2. Your interest and particular domain you want to work in
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Q1. SQL and background related questions
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Q1. What is deep learning?
Ans. 
Deep learning is a subset of machine learning that uses neural networks to learn from data.
• Deep learning involves training neural networks with large amounts of data to make predictions or decisions.

• It is used in image recognition, natural language processing, and speech recognition.

• Deep learning models can automatically learn to extract features from raw data.

• It requires a lot of computational power and data to train ...read more
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Q2. Advanced Branch of ai
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Reinforcement Learning is an advanced branch of AI that involves training agents to make decisions based on rewards and punishments.
• Reinforcement Learning involves an agent interacting with an environment and learning from the rewards and punishments it receives.

• It has been used in various applications such as game playing, robotics, and recommendation systems.

• Some popular algorithms in Reinforcement Learning include Q...read more
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Q1. Expected salary
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Q2. Shared the salary as needed
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