PayPal Senior Data Analyst Interview Questions and Answers

Q1. Very basic from the JD
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Q2. About the job description
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Q1. Basic of your JD and deep understanding of the profile.
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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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Given Python coding challenge related to string processing and second question was matrix processing using python

Q1. Bagging boosting and its difference and uses.
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Q2. Methods to minimize overfitting and underfitting
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Q3. Transformer architecture
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Q4. LLM usecase and explain how to work on it
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Q1. Given data, find out what AI project can be discovered and how to progress on implementing it.
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Q2. Given data and usecase, which model to use to implement solution and how detailed steps.
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Q1. Discussed each project in my resume in detail and related questions
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Q2. Discussed team and personal behavioural questions
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Q1. SQL Joins and remove duplicates
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Q2. Function to create a transaction bin column
Ans. 
Create a function to generate a transaction bin column based on transaction amounts.
• Create bins based on transaction amounts (e.g. $0-$100, $101-$200, etc.)

• Use pandas cut() function in Python to create bins

• Assign bin labels to the transactions based on the bin ranges
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Sql, python, statistical questions

Q1. How daily work looks like?
Ans. 
Daily work involves analyzing data, creating reports, and communicating findings to stakeholders.
• Reviewing and cleaning data sets

• Creating visualizations and dashboards

• Conducting statistical analysis

• Communicating insights to non-technical stakeholders
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Q2. Most ise tools?
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Some of the most commonly used tools for data analysis include Excel, Python, R, Tableau, and SQL.
• Excel is widely used for data manipulation and analysis.

• Python and R are popular programming languages for data analysis and machine learning.

• Tableau is a powerful data visualization tool.

• SQL is essential for querying databases and extracting data.
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4 sql tasks on 3 tables. Joins, subqueries

Q1. Sql questions on windows functions, subquery
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Q2. Guesstimmate on how many cricket bat is solved in a year
Ans. 
It is difficult to accurately estimate the number of cricket bats sold in a year without specific data.
• The number of cricket bats sold in a year can vary based on factors such as seasonality, popularity of cricket, and market trends.

• One approach to estimate could be to consider the total population of cricket-playing countries and the average number of bats owned by players.

• Another approach could be to look at the sale...read more
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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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