Fractal Analytics Interview Questions, Process, and Tips

Aptitude test along with python and SQL MCQ questions. Sql coding was also asked which was very simple

Q1. Power Bi one on one round
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Q1. Python based coding questions
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Q2. Selenium and SQL
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Q1. Pandas based basic Data Manipulation Tasks
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Q2. Handling Jsons in python
Ans. 
Python provides built-in libraries like json to handle JSON data easily.
• Use json module to load and parse JSON data

• Use json.dumps() to convert Python objects into JSON strings

• Use json.loads() to convert JSON strings into Python objects
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Q1. Questions on Transformer Architecture and
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Q2. System design tradeoffs and basic principles
Ans. 
System design tradeoffs involve balancing various factors to optimize performance and efficiency.
• Consider scalability, reliability, latency, and cost when designing systems

• Tradeoffs may involve sacrificing one aspect for the benefit of another

• Examples include choosing between consistency and availability in distributed systems
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Q1. Various questions on my projects
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Q2. NLP based questions and metrics calculation and case study
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Q1. Basic HR questions
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Q2. Why Fractal, etc
Ans. 
Fractals are used in data science for analyzing complex and self-similar patterns.
• Fractals are useful for analyzing data with repeating patterns at different scales.

• They are used in image compression, signal processing, and financial market analysis.

• Fractal analysis can help in understanding the underlying structure of data and making predictions.
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