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DataPOEM
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I applied via Referral and was interviewed in Apr 2024. There was 1 interview round.
I have experience deploying ML models in production environments using cloud services like AWS and Azure.
Deployed ML models using AWS SageMaker for real-time predictions
Utilized Azure Machine Learning service to deploy models for batch processing
Implemented CI/CD pipelines for automated model deployment
Managed model versioning and monitoring in production environments
I have expertise in deep learning methodologies including neural networks, CNNs, RNNs, and GANs.
Extensive experience with neural networks and their applications in image recognition and natural language processing
Proficient in Convolutional Neural Networks (CNNs) for tasks such as image classification and object detection
Familiarity with Recurrent Neural Networks (RNNs) for sequential data analysis like time series for...
I applied via LinkedIn and was interviewed in Dec 2023. There were 2 interview rounds.
We need to build a ML model for the data they have given
Neural networks are a subset of machine learning models that mimic the human brain's structure and function.
Neural networks are a type of machine learning model that is inspired by the structure and function of the human brain.
Neural networks consist of interconnected nodes arranged in layers, with each node performing a specific function.
Machine learning models, on the other hand, encompass a broader range of algorith...
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My friends think of me as reliable, supportive, and always up for a good time.
Reliable - always there when they need help or support
Supportive - willing to listen and offer advice
Fun-loving - enjoys socializing and trying new things
I applied via Campus Placement and was interviewed in Oct 2023. There were 3 interview rounds.
The aptitude test was easy.just like usual aptitude questions like quants,verbal,reasoning etc....
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
Basic python questions on pandas,numpy, and basic SQL questions on windows function like lag
I applied via Company Website and was interviewed in Dec 2024. There were 2 interview rounds.
Python coding and ML resume based questions
I applied via Campus Placement and was interviewed in Jul 2022. There were 4 interview rounds.
Medium level of question are there in this section
Basic level of question are there in this section
Joints are connections between bones that allow movement and provide support to the body.
Joints are found throughout the body, such as the knee, elbow, and shoulder.
They are made up of bones, cartilage, ligaments, and synovial fluid.
Joints enable various types of movements, including flexion, extension, rotation, and abduction.
Different types of joints include hinge joints, ball-and-socket joints, and pivot joints.
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I'm not sure how joints relate to data science, but my hobby is playing guitar.
Joints can refer to the connection between two bones in the body or the way two things are connected or joined together.
Playing guitar is a hobby that helps me relax and unwind after a long day of working with data.
While seemingly unrelated to data science, playing an instrument can actually improve cognitive function and creativity, which c
posted on 11 Dec 2024
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
There are 10 multiple-choice questions (MCQs) on Python, 20 MCQs on machine learning (ML), and 10 questions on deep learning (DL).
I applied via Approached by Company and was interviewed in Mar 2024. There were 3 interview rounds.
System design tradeoffs involve balancing various factors to optimize performance and efficiency.
Consider scalability, reliability, latency, and cost when designing systems
Tradeoffs may involve sacrificing one aspect for the benefit of another
Examples include choosing between consistency and availability in distributed systems
Fractals are used in data science for analyzing complex and self-similar patterns.
Fractals are useful for analyzing data with repeating patterns at different scales.
They are used in image compression, signal processing, and financial market analysis.
Fractal analysis can help in understanding the underlying structure of data and making predictions.
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