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I have used tools like Flask, Docker, and AWS to deploy machine learning models.
Utilized Flask to create RESTful APIs for model deployment
Containerized models using Docker for easy deployment and scalability
Deployed models on AWS EC2 instances for production use
Transformers are a type of deep learning model architecture that utilizes self-attention mechanisms.
Transformers consist of an encoder and a decoder, each composed of multiple layers of self-attention and feedforward neural networks.
Self-attention allows the model to weigh the importance of different input tokens when making predictions.
Transformers have been widely used in natural language processing tasks, such as ma...
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
How to build model to detect fraud
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
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
How to build model to detect fraud
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
I applied via LinkedIn and was interviewed in Nov 2023. There were 2 interview rounds.
How would you solve a financial fraud problems at a bank
I prioritize tasks based on deadlines and importance, use to-do lists and calendars, delegate when possible, and focus on one task at a time.
Prioritize tasks based on deadlines and importance
Use to-do lists and calendars to stay organized
Delegate tasks when possible to lighten the workload
Focus on one task at a time to avoid feeling overwhelmed
posted on 23 Dec 2021
I applied via Recruitment Consultant and was interviewed before Dec 2020. There were 3 interview rounds.
Senior Associate
14
salaries
| ₹2.7 L/yr - ₹5 L/yr |
Software Engineer
12
salaries
| ₹4.8 L/yr - ₹13.9 L/yr |
Senior Software Engineer
12
salaries
| ₹12.5 L/yr - ₹18.5 L/yr |
Process Associate
8
salaries
| ₹2.7 L/yr - ₹3.2 L/yr |
Senior Process Associate
7
salaries
| ₹3.5 L/yr - ₹5.1 L/yr |
TCS
Infosys
Wipro
HCLTech