Intuit Summer Intern Interview Questions and Answers

Q1. Assignment is given before hand and after that you'll have to pair with TW developer. While pairing, code smells/improvements are discussed
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Q1. Questions related: to your last project to OOPS with system design
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Q1. Code transport management system
Ans. 
A transport management system optimizes logistics, tracking, and fleet management for efficient transportation operations.
• Define user roles: Admin, Driver, Dispatcher.

• Implement route optimization algorithms to minimize travel time.

• Integrate GPS tracking for real-time vehicle location.

• Create a dashboard for monitoring deliveries and fleet status.

• Enable notifications for delays or issues in transport.
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Q2. Basic tree DSA question
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Q3. Design LLD for instagram
Ans. 
Designing a low-level design for Instagram involves creating components for user profiles, posts, feeds, and interactions.
• User Profile: Each user has a profile containing their bio, profile picture, and posts.

• Posts: Users can create posts with images, captions, and tags.

• Feed: A personalized feed shows posts from followed users, sorted by relevance.

• Likes and Comments: Users can like and comment on posts, with notificati...read more
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Code pairing round with a developer from Thoughtworks

Q1. Java based questions
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Q2. Project experience
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Q1. Questions on scenario based managerial
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Q2. Social change questions like what's your thought on LGBTQ
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Pair programming with an assignment

I don’t remember now

Q1. Speak for 3 minutes about any topic you like. How will you phrase a sentence for a given topic?
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Q1. Are you willing to relocate? Are you comfortable table with rotational shifts?
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Q1. What is Supervised machine learning? Which algorithm you think you can explain brilliantly? Why we use random forest then normal decision tree
Ans. 
Supervised machine learning is a type of ML where the algorithm learns from labeled data. Random forest is used over normal decision tree for better accuracy and to avoid overfitting.
• Supervised ML learns from labeled data to make predictions on new data

• Random forest is an ensemble learning method that uses multiple decision trees to improve accuracy

• Random forest is preferred over normal decision tree to avoid overfitti...read more
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Q2. Example of case study
Ans. 
Case study on a successful marketing campaign for a new product launch
• Identified target audience and their needs

• Developed a unique selling proposition

• Created a multi-channel marketing plan

• Implemented the plan and tracked results

• Adjusted strategy based on data analysis

• Achieved high sales and positive customer feedback
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Retail case study , company trends salw.. Total sale. Profit charts and reports