PayPal Decision Scientist Interview Questions and Answers

Given Python coding challenge related to string processing and second question was matrix processing using python

Q1. Bagging boosting and its difference and uses.
Add your answer
Q2. Methods to minimize overfitting and underfitting
Add your answer
Q3. Transformer architecture
Add your answer
Q4. LLM usecase and explain how to work on it
Add your answer

Q1. Given data, find out what AI project can be discovered and how to progress on implementing it.
Add your answer
Q2. Given data and usecase, which model to use to implement solution and how detailed steps.
Add your answer

Q1. Discussed each project in my resume in detail and related questions
Add your answer
Q2. Discussed team and personal behavioural questions
Add your answer

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
Answered by AI
Add your answer

Q1. Project explanation in brief manner
Ans. 
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
Answered by AI
Add your answer

Q1. Discussion on linear regression and regularisation techniques
Add your answer
Q2. Discussion on tree based models and measures to score the models
Add your answer

Q1. DBSCAN Clustering
Add your answer
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
Answered by AI
Add your answer

Q1. Details about past projects
Add your answer
Q2. Details about latest project
Add your answer

Q1. What is a Transformer
Ans. 
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
Answered by AI
Add your answer

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
Add your answer
Q2. Your interest and particular domain you want to work in
Add your answer

Q1. Normal HR questions,
Add your answer

Q1. Based on my resume sql excel and python
Add your answer

Q1. Guesstimates ,puzzle
Add your answer