MasterCard Analytics Manager 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. Short cut keys of tools
Ans. 
Short cut keys are keyboard shortcuts that allow users to quickly perform actions in various tools.
• Ctrl + C: Copy

• Ctrl + V: Paste

• Ctrl + X: Cut

• Ctrl + Z: Undo

• Ctrl + S: Save

• Ctrl + P: Print
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Q1. Project explanation in brief manner
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Developed a predictive model to forecast sales based on historical data
• Collected and cleaned historical sales data

• Performed exploratory data analysis to identify trends and patterns

• Built and trained machine learning model using regression techniques

• Evaluated model performance using metrics like RMSE and MAE
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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. Why are you interested in this role
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Q2. Provide an example how you solved a problem
Ans. 
I solved a problem by using machine learning algorithms to predict customer churn for a telecom company.
• Identified relevant data sources such as customer demographics, usage patterns, and customer service interactions.

• Preprocessed and cleaned the data to handle missing values and outliers.

• Built and trained a machine learning model using algorithms like logistic regression and random forest.

• Evaluated the model's perform...read more
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Q1. SQL coding tests
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Q1. Discussed about hybrid mode of work
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Q1. What is a Transformer
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A Transformer is a type of deep learning model that uses attention mechanisms to improve the efficiency of sequence-to-sequence tasks.
• Utilizes self-attention mechanism to weigh the importance of different input elements

• Commonly used in natural language processing tasks such as machine translation and text generation

• Examples include BERT, GPT, and Transformer-XL
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Q1. Normal HR questions,
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Q1. Based on my resume sql excel and python
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Q1. Guesstimates ,puzzle
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Basic questions like stats, probability etc

Scenario based question

Q1. Questions on fundamentals
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Q1. General questions
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