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I applied via Referral and was interviewed before Jun 2022. There were 4 interview rounds.
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I applied via Campus Placement and was interviewed before Jan 2024. There was 1 interview round.
We had an aptitude test which involved 60 questions in 15 minutes. Of course, no one can solve this fast, but it was about the hit rate / accuracy and volume. Subsequent followed with two guesstimate based rounds and final as HR round which involved asking about college projects, extra curricular experiences and so on.
I applied via LinkedIn and was interviewed before Apr 2022. There were 4 interview rounds.
By analyzing data, identifying pain points, and implementing solutions to improve user experience and trust.
Analyze user behavior and feedback to identify areas of improvement
Implement measures to increase transparency and trust, such as user reviews and seller verification
Provide resources and support for dispute resolution
Encourage diversity and inclusivity in the marketplace to attract a wider range of buyers and se...
I will design a customer support system that is user-friendly, efficient, and personalized.
Conduct research to understand customer needs and preferences
Identify common customer issues and develop a knowledge base for quick resolution
Implement a ticketing system to track and prioritize customer inquiries
Integrate chatbots and AI to provide 24/7 support
Train support staff to provide personalized and empathetic service
Col...
I applied via Company Website and was interviewed in May 2019. There were 5 interview rounds.
I applied via Company Website and was interviewed in May 2019. There were 4 interview rounds.
Implemented a new customer feedback system that increased customer satisfaction by 20%
Implemented a new customer feedback system to gather insights and improve customer experience
Analyzed feedback data to identify common issues and areas for improvement
Implemented changes based on feedback to address customer concerns and enhance overall satisfaction
Trained team members on how to effectively use the new system and inte...
I applied via Naukri.com and was interviewed before Nov 2020. There were 5 interview rounds.
The weight of an aircraft is crucial for its performance and safety.
The weight of an aircraft includes the weight of the aircraft itself, fuel, passengers, cargo, and any other equipment on board.
The weight of an aircraft is measured in pounds or kilograms.
The weight of an aircraft affects its takeoff and landing performance, as well as its fuel efficiency and range.
Aircraft manufacturers provide maximum takeoff and la...
I applied via Recruitment Consultant and was interviewed in Aug 2017. There were 4 interview rounds.
I was interviewed before Nov 2019.
SQL query to get top 100 Uber drivers by city
Join drivers and users tables on city
Aggregate driver ratings and count of rides
Order by rating and count of rides
Limit to top 100
Optimizing the listing of Restaurants on Swiggy involves using data-driven strategies to improve visibility, relevance, and user experience.
Analyze user behavior and preferences to understand their needs and preferences
Implement a ranking algorithm based on factors like ratings, reviews, popularity, and delivery time
Optimize search functionality to ensure accurate and relevant results
Collaborate with restaurants to imp...
Linear Regression is used for continuous data while Logistic Regression is used for categorical data.
Linear Regression predicts continuous values while Logistic Regression predicts probabilities.
Linear Regression uses a straight line to fit the data while Logistic Regression uses an S-shaped curve.
Linear Regression uses Mean Squared Error as the cost function while Logistic Regression uses Log Loss.
Linear Regression is...
Bias-Variance trade-off is the balance between overfitting and underfitting. High bias models are simple but inaccurate, low variance models are complex but overfit.
Bias-Variance trade-off is a fundamental concept in machine learning.
High bias models are simple and have low variance, but are inaccurate.
Low bias models are complex and have high variance, but can overfit the data.
Examples of high bias models are linear r...
Possible reasons for a car manufacturer's decline in profits by 40% year over year
Decreased demand for cars due to economic downturn
Increased competition from other car manufacturers
Rising production costs and expenses
Decline in consumer confidence and spending
Changes in government regulations impacting the automotive industry
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