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I applied via Naukri.com and was interviewed in May 2024. There were 4 interview rounds.
Hacker rank test with SQL questions
Design the database and write a query to find the most re-ordered product
Case study and technical round - database design questions and analytical thinking check
HR Related questions and market entry level case study
I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
They sent a hackerrank test which had only sql questions
They asked for my last project and asked few sql questions. They also asked few statistics question which was not expected
I applied via LinkedIn
What should be the metrics to track for ideal customers
I applied via Naukri.com and was interviewed in Mar 2024. There was 1 interview round.
Meesho interview questions for designations
I applied via Approached by Company
Calculate running total
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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 Jul 2019. There were 6 interview rounds.
I applied via Naukri.com and was interviewed before Jan 2021. There were 3 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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