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I appeared for an interview before Mar 2024, where I was asked the following questions.
I applied via Campus Placement and was interviewed in Jun 2024. There was 1 interview round.
Yes, I have worked on projects using Django and Flask frameworks.
Developed a web application using Django framework for a school management system
Built a RESTful API using Flask framework for a mobile application
Implemented authentication and authorization using Django's built-in features
I applied via Campus Placement and was interviewed in Jun 2024. There were 2 interview rounds.
Aptitude round + coding round
They called for in person assisment round. They gave on task to complete, you have to show them final output then they will check your algorithm.
I applied via Recruitment Consulltant and was interviewed in Dec 2023. There were 2 interview rounds.
It was easy. About arrays
It was hard . About oops
Securin interview questions for popular designations
Top trending discussions
I applied via Campus Placement and was interviewed in Jan 2024. There were 2 interview rounds.
15 basic cs based mcq - mainly dsa and os and 3 coding question -- dp count the number of elemnt sum required to reach target , 2 q - balanced parenthesis and last one is from graph.
Contains linear and non linear data structures deep knowledge of trees and graphs
Dry run on a page involves testing the code without actually executing it.
Dry run involves walking through the code manually to check for errors
Helps in identifying logic errors before actual execution
Commonly used in debugging and testing code
APTITUDE TEST ON MATHEMATICAL QNS
Profit and loss number system is a method used to calculate the financial performance of a business.
Profit is the positive difference between revenue and expenses.
Loss is the negative difference between revenue and expenses.
Net profit is the total profit after deducting all expenses.
Net loss is the total loss after deducting all expenses.
Profit and loss statement shows the financial performance of a business over a spe
I appeared for an interview in Feb 2025.
10 questions - 45minutes
I applied via Recruitment Consultant and was interviewed in Jul 2021. There were 3 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company.
Used logistic regression and decision tree algorithms for classification.
Performed feature engineering to extract relevant features from customer data.
Achieved an accuracy of 85% on the test set.
Provided actionable insights to the company to reduce customer churn.
Different performance metrics are used to measure the effectiveness of a model or system.
Accuracy
Precision
Recall
F1 Score
ROC Curve
AUC
Mean Squared Error
Root Mean Squared Error
R-squared
Bagging and boosting are ensemble learning techniques. XgBoost is a gradient boosting algorithm.
Bagging involves training multiple models on different subsets of the data and combining their predictions.
Boosting involves training models sequentially, with each model trying to correct the errors of the previous model.
XgBoost is an optimized implementation of gradient boosting that uses a combination of tree-based models...
I applied via Campus Placement and was interviewed in Jul 2024. There were 2 interview rounds.
Dp, trees and basic time complexity
I am a software engineer with 5 years of experience in developing web applications using Java, Spring, and Angular.
5 years of experience in software development
Proficient in Java, Spring, and Angular
Strong problem-solving skills
Experience working in Agile development environment
based on 5 interviews
Interview experience
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