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I applied via Campus Placement and was interviewed before Apr 2023. There were 3 interview rounds.
There were 2 DSA questions and 15 multiple choice questions. Level of questions was intermediate to advance.
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I applied via Campus Placement
Developed a predictive model for customer churn in a telecom company
Used machine learning algorithms like logistic regression and random forest
Analyzed customer data such as call duration, plan details, and customer complaints
Achieved 85% accuracy in predicting customer churn
15 statistical and logical questions
2 easy to medium coding problmes. e.g. swapping the array.
Regression is a statistical method used to analyze the relationship between variables and predict outcomes.
Regression models the relationship between a dependent variable and one or more independent variables.
It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.
Examples include linear regression, polynomial regression, and logistic regression.
I was interviewed before Feb 2024.
Predictive modeling project
I applied via Company Website and was interviewed before Dec 2023. There was 1 interview round.
I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.
I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.
A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.
It is a tree-like structure with nodes representing decisions and branches representing outcomes
Each node has a condition that determines which branch to follow
It is commonly used in machine learning for classification and regression tasks
Example: A decision tree for predicting whether a customer will bu...
Random forest is an ensemble learning method for classification, regression and other tasks.
Random forest builds multiple decision trees and combines their outputs to improve accuracy.
It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.
Random forest can be used for both classification and regression tasks.
It is resistant to overfitting and can handle missing data.
Exa...
Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.
Consists of layers of interconnected nodes that process information
Used for tasks such as image recognition, natural language processing, and prediction
Can be trained using supervised, unsupervised, or reinforcement learning
Examples include convolutional neural networks, recurrent neural networks, and deep n
Leetcode style coding
I applied via Naukri.com and was interviewed in Jun 2024. There were 3 interview rounds.
2 leetcode easy questions were asked
Data science case study
based on 1 interview
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