MasterCard Senior Data Scientist Interview Questions, Process, and Tips

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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Q1. SQL and background related questions
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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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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. 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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Q1. Details about past projects
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Q2. Details about latest project
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Q1. Basic deep Learning and project related questions
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Q2. Some case study questions
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Q3. Diff between rnn and lstm
Ans. 
LSTM is a type of RNN with additional memory cells to better capture long-term dependencies.
• RNN stands for Recurrent Neural Network, while LSTM stands for Long Short-Term Memory.

• LSTM has additional memory cells (input, forget, output gates) to better capture long-term dependencies.

• RNN suffers from vanishing/exploding gradient problem, while LSTM helps alleviate this issue.

• LSTM is better suited for tasks requiring long-...read more
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Q1. Some coding question and ask to optimise them
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Q1. Basic managerial questions
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