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I applied via Referral and was interviewed in Jul 2021. There were 4 interview rounds.
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Aptitude was quite easy with simple python questions
Asked basic questions on numpy and pandas
I applied via Naukri.com and was interviewed in Nov 2023. There was 1 interview round.
I have used services like EC2, S3, RDS, Lambda, and CloudWatch in AWS cloud.
EC2
S3
RDS
Lambda
CloudWatch
Services are offerings provided by a company or individual to fulfill a specific need or desire of a customer.
Services can range from physical tasks like cleaning or repairs to intangible services like consulting or counseling.
Service providers typically outline the scope of their services, pricing, and terms in a service agreement or contract.
Customers can access services through various channels such as in-person, on...
I applied via Company Website and was interviewed in Sep 2023. There were 4 interview rounds.
CRUD Application using Angular
I applied via Company Website and was interviewed in Jun 2024. There were 3 interview rounds.
Coding Test consists of 3 Problem Question (2 Logical questions and 1 SQL Query ) and Around 20 MCQS
Platform - CoderByte
30 Aptitude Question
3 Mail Writing Question
Solved a sorting problem by implementing quicksort algorithm.
Implemented quicksort algorithm to efficiently sort the array.
Used recursion to divide the array into smaller subarrays and sort them individually.
Optimized the algorithm by choosing a pivot element strategically to minimize comparisons.
The 3rd question based on SQL query likely refers to a specific query or scenario related to SQL.
Understand the context of the query being asked about
Analyze the structure and purpose of the SQL query
Explain the expected output or result of the query
Code to reverse digits of a number
Use modulo operator to extract the last digit of the number
Multiply the result by 10 and add the next digit until all digits are reversed
Handle negative numbers separately by converting to positive before reversing
I applied via Campus Placement and was interviewed in Mar 2024. There was 1 interview round.
Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.
Hyperparameters are parameters that are set before the learning process begins.
Hyperparameter tuning involves adjusting hyperparameters to optimize the model's performance.
Common techniques for hyperparameter tuning include grid search, random search, and Bayesian optimization.
Neural networks are trained using algorithms that adjust the weights and biases of the network based on the input data and desired output.
Neural networks are trained using a process called backpropagation, where the error between the predicted output and the actual output is used to adjust the weights and biases of the network.
Training data is fed into the neural network, and the network's output is compared to the des...
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It can be identified when a model performs well on training data but poorly on unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early ...
I applied via Company Website and was interviewed in Sep 2024. There were 3 interview rounds.
There were 3 coding questions in the first round
30 MCQ questions based on Math, reasoning and English and also email writing
based on 1 review
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