American Express
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
Filter interviews by
Model Gini is a measure of statistical dispersion used to evaluate the performance of classification models.
Model Gini is calculated as twice the area between the ROC curve and the diagonal line (random model).
It ranges from 0 (worst model) to 1 (best model), with higher values indicating better model performance.
A Gini coefficient of 0.5 indicates a model that is no better than random guessing.
Commonly used in credit
XGBoost model is trained by specifying parameters, splitting data into training and validation sets, fitting the model, and tuning hyperparameters.
Specify parameters for XGBoost model such as learning rate, max depth, and number of trees
Split data into training and validation sets using train_test_split function
Fit the XGBoost model on training data using fit method
Tune hyperparameters using techniques like grid search
Many Mcq,s.Similar to cat exam
Ml case study . Eg loan default prediction
I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.
Medium General Aptitude questions and technical(Big Data, Python etc.)
Understanding deep equations and algorithms in DL and ML is crucial for a data scientist.
Deep learning involves complex neural network architectures like CNNs and RNNs.
Machine learning algorithms include decision trees, SVM, k-means clustering, etc.
Understanding the math behind algorithms helps in optimizing model performance.
Equations like gradient descent, backpropagation, and loss functions are key concepts.
Practica...
What people are saying about American Express
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
posted on 11 Dec 2024
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There was 1 interview round.
Developed a generative AI model to create realistic images of fictional characters.
Used GANs (Generative Adversarial Networks) to generate new images based on existing data.
Trained the model on a dataset of character images from various sources.
Implemented techniques like style transfer to enhance the diversity and creativity of generated images.
Evaluated the model's performance based on image quality metrics and user
I applied via LinkedIn and was interviewed in Jul 2024. There were 3 interview rounds.
Assignment on credit risk
I was asked Python, sql, coding questions
Case study on how would you identify the total number of footfall on a airport
I was interviewed before Apr 2023.
Python coding question and ML question
based on 4 interviews
Interview experience
based on 9 reviews
Rating in categories
Business Analyst
879
salaries
| ₹9.7 L/yr - ₹16.8 L/yr |
Assistant Manager
718
salaries
| ₹14 L/yr - ₹42 L/yr |
Senior Analyst
589
salaries
| ₹5.9 L/yr - ₹23.4 L/yr |
Lead Analyst
497
salaries
| ₹4 L/yr - ₹15 L/yr |
Analyst
453
salaries
| ₹12.8 L/yr - ₹28 L/yr |
MasterCard
Visa
PayPal
State Bank of India