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Navi Technologies
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I applied via Campus Placement and was interviewed in Dec 2024. There were 2 interview rounds.
Quantitative aptitude, verbal ability, critical reasoning
Use SQL query to find store with highest Average Order Value (AOV).
Use GROUP BY clause to group by store
Calculate AOV by dividing total revenue by total orders
Use ORDER BY and LIMIT to find store with highest AOV
I applied via Approached by Company and was interviewed in Jul 2024. There were 2 interview rounds.
Case studies about Navi UPI
Case studies about Navi UPI App
I applied via Recruitment Consulltant and was interviewed before Jul 2022. There were 3 interview rounds.
Guesstimates, business case study
Navi Technologies interview questions for designations
Top trending discussions
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 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
I applied via Walk-in and was interviewed before Jun 2020. There was 1 interview round.
I will highlight the benefits of our tablets for children's education and offer discounts or promotions to attract parents.
Emphasize the educational benefits of our tablets
Offer discounts or promotions to attract parents
Provide testimonials from satisfied parents
Partner with schools or educational institutions to promote our tablets
Create engaging and informative marketing materials targeted towards parents
Offer a tria...
I applied via Company Website and was interviewed before Mar 2020. There was 1 interview round.
Bubble sort is a simple sorting algorithm that repeatedly steps through the list, compares adjacent elements and swaps them if they are in the wrong order.
Start from the first element and compare it with the next element
If the first element is greater than the next element, swap them
Repeat this process for all elements in the list
Continue this process until no more swaps are needed
A Turing Machine is a theoretical device that can simulate any algorithmic computation.
It was proposed by Alan Turing in 1936 as a model for computation.
It consists of a tape, a head that can read and write symbols on the tape, and a set of rules for transitioning between states.
It can simulate any algorithmic computation, making it a powerful tool for theoretical computer science.
It is often used as a theoretical basi...
A hash function is a mathematical function that converts input data of arbitrary size into a fixed-size output.
Hash functions are used to index data in hash tables.
They are also used in cryptography to securely store passwords.
Examples of hash functions include MD5, SHA-1, and SHA-256.
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