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AML RightSource Associate Data Analyst Interview Questions and Answers
AML RightSource Associate Data Analyst Interview Experiences
1 interview found
Anonymous
I applied via LinkedIn and was interviewed before Oct 2020. There was 1 interview round.
Interview Questionnaire
3 Questions
- Q1. Concentrated more on Sql and Excel.
- Q2. Fraud techniques, Anomaly detection
- Q3. Money laundering
Interview Preparation Tips
Interview questions from similar companies
Selected
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 3 interview rounds.
(2 Questions)
- Q1. What are the key topics related to Generative AI, specifically focusing on Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)?
- Q2. What is your understanding of the existing project and the technology stacks used?
(3 Questions)
- Q1. What has been your contribution to existing work and the technologies used in that context?
- Q2. ML, DL, Gen AI implementation and flow
- Q3. Python Coding logic and semantics
(2 Questions)
- Q1. What are the existing work challenges you face, and what solutions have you implemented to address them?
- Q2. What is your understanding of Generative AI and Natural Language Processing (NLP), and can you provide examples of their use cases?
Interview Preparation Tips
I applied via Approached by Company and was interviewed in Oct 2024. There were 3 interview rounds.
(3 Questions)
- Q1. Sql based questions in first round and increased level in next rounds
- Q2. Simple python questions
- Q3. Guessestimate- process matters not answers
(1 Question)
- Q1. Hard SQL question
(2 Questions)
- Q1. Sql based questions asked
- Q2. Fit for the role
Interview Preparation Tips
They ghost you after this round
Might be some candidate ghosted before
I got response on same day for past round
Selected
(1 Question)
- Q1. Optimization techniques in spark
(1 Question)
- Q1. Tell me about your project
(1 Question)
- Q1. After bragging about their company for 25 minutes, they proceed to give you a 15% hike. All the negative reviews about this company is true
Interview Preparation Tips
Selected
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
(1 Question)
- Q1. Basic ML questions based on your project, python basic questions
Basic python questions on pandas,numpy, and basic SQL questions on windows function like lag
I applied via Company Website and was interviewed in Oct 2024. There were 3 interview rounds.
30 minutes. 3 aptitude questions . Very easy .
DSA Questions. Palindrome , Arrays and Strings were the most asked questions in my batch.
(2 Questions)
- Q1. What are directors?
- Ans.
Directors are individuals responsible for overseeing the activities and operations of a company or organization.
Directors are typically appointed by shareholders or members of the organization.
They are responsible for making strategic decisions and setting goals for the organization.
Directors have a fiduciary duty to act in the best interests of the company and its stakeholders.
Examples of directors include the CEO, CF
- Q2. OOP COncepts such as polymorphism, inheritance, etc.
I was interviewed in Dec 2024.
(1 Question)
- Q1. What is oob in random forest
Rudra Rana
(2 Questions)
- Q1. Questions were asked related to ML modelling process
- Q2. Basic python coding
Aptitude, coding on python NLP
Python Data Frames, String list manipulation
(2 Questions)
- Q1. Common discussion
- Q2. Salary location etc
Selected
I applied via Referral and was interviewed in Jan 2024. There was 1 interview round.
(3 Questions)
- Q1. What are the projects you have worked on?
- Q2. What is Digital Image Processing?
- Ans.
Digital Image Processing is the manipulation of digital images using algorithms to enhance, analyze, or extract information.
It involves techniques like image enhancement, restoration, segmentation, and compression.
Common applications include medical imaging, satellite imaging, facial recognition, and object detection.
Algorithms like edge detection, noise reduction, and image stitching are used in digital image processi...
- Q3. Explain OOP in Python
- Ans.
OOP in Python is a programming paradigm where objects are created that contain data and methods to manipulate that data.
Classes are used to create objects in Python
Objects have attributes (data) and methods (functions)
Inheritance allows classes to inherit attributes and methods from other classes
Encapsulation allows data to be hidden and only accessed through methods
Polymorphism allows objects to be treated as instance
Interview Preparation Tips
- Python
- ML Algorithms
- NLP
- Computer Vision
- Generative AI
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Associate Analyst 2
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Associate Analyst 1
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| ₹3.3 L/yr - ₹5.5 L/yr |
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