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Quality principles and standards are essential for ensuring high standards of performance and customer satisfaction.
Quality principles are guidelines or beliefs that organizations follow to achieve quality in their products or services.
Standards are specific criteria or requirements that products, services, or processes must meet to ensure quality.
Examples of quality principles include continuous improvement, customer ...
posted on 2 Mar 2024
I applied via Walk-in and was interviewed before Mar 2023. There were 3 interview rounds.
Aptitude test all mathematical and general aptitude questions
Any topic related to current trends
There are various types of models used in different fields such as statistical models, mathematical models, physical models, etc.
Statistical models: Used in data analysis to make predictions or draw inferences.
Mathematical models: Represented using mathematical equations to describe real-world phenomena.
Physical models: Used to simulate physical systems or objects for testing or analysis.
Computer models: Utilized in co...
Bug life cycle or defect life cycle is the process of identifying, reporting, prioritizing, fixing, and verifying bugs in software development.
Bug identification: Bugs are identified through testing, user feedback, or code reviews.
Bug reporting: Bugs are reported in a bug tracking system with details like steps to reproduce, severity, and priority.
Bug prioritization: Bugs are prioritized based on severity and impact on...
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.
Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.
Boosting is used to improve the accuracy of models and reduce bias and variance.
I applied via Naukri.com and was interviewed in Dec 2023. There was 1 interview round.
I applied via Naukri.com and was interviewed in Mar 2023. There were 2 interview rounds.
Some mcq questions and coding question. Both where easy to medium level. Prepare combination/permutation/Time complexity etc
A question related to Binary search and some other follow ups.
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
I applied via Campus Placement and was interviewed in Nov 2023. There were 3 interview rounds.
It was the easy round to clear they ask basic quans which include DBMS and grammar over all the round was easy
posted on 10 Oct 2023
I applied via Naukri.com and was interviewed before Oct 2022. There were 2 interview rounds.
I strive to always go above and beyond in my work, consistently exceeding expectations and delivering exceptional results.
I always look for opportunities to take on additional responsibilities and challenges
I consistently seek out ways to improve processes and efficiency
I am proactive in finding solutions to problems before they escalate
I am always willing to put in extra effort to ensure success
For example, in my prev...
I applied via Naukri.com and was interviewed in Dec 2023. There was 1 interview round.
based on 6 reviews
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