SETHU RAM K

Key Skills Acquired:

- Basics of c, HTML, CSS

- Advance in
- AWS fundamentals: IAM, EC2, S3, EBS, RDS, VPC
- Compute Services: Lambda, Elastic Beanstalk
- Storage Services: S3, EFS, Glacier
- Database Services: RDS, DynamoDB
- Security, Identity, and Compliance: IAM, Cognito, Inspector
- Networking: VPC, Subnets, Route 53
- Analytics and Machine Learning: Redshift, QuickSight, SageMaker
- Deployment and Management: CloudFormation, Elastic Container Service (ECS)

Hands-on Experience:
-
- Designed and deployed scalable architectures using AWS services
- Implemented automation scripts using AWS CLI and SDKs
- Configured security and monitoring solutions using AWS IAM and CloudWatch
- Migrated applications to AWS using various migration strategies


*Tools and Technologies:*

- AWS Management Console
- AWS CLI
- SDKs (Python, Java)
- CloudFormation
- Docker
- Kubernetes

:
_Projects Done_

1. _Banking System (Mini Project)_ - Developed a banking system using Python - Implemented features: user authentication, account management, transaction processing - Demonstrated understanding of Python programming and database interactions

2. _Real-time Analytics Dashboard_
- Developed a real-time analytics dashboard using AWS Redshift, QuickSight, and Lambda
- Integrated with API Gateway and IoT devices
- Improved data visualization and insights for business stakeholders

3. _Image Classification Model_
- Trained and deployed an image classification model using AWS SageMaker and TensorFlow
- Achieved 95% accuracy and reduced model training time by 40%
- Integrated with S3 and API Gateway

4. _Serverless Web Application_
- Designed and deployed a serverless web application using AWS Lambda, API Gateway, and S3
- Implemented authentication using AWS Cognito
- Reduced costs by 50% and improved scalability

5. _Disaster Recovery Solution_
- Implemented a disaster recovery solution using AWS RDS, S3, and Glacier
- Ensured data backup and recovery within 1 hour
- Complied with regulatory requirements

6. _E-commerce Platform Migration_
- Migrated existing e-commerce platform to AWS (EC2, RDS, S3)
- Implemented auto-scaling, load balancing, and security groups
- Reduced costs by 30% and improved performance by 25%

7. _Job Listing Aggregator_
- Built a job listing aggregator using Python
- Scraped job listings from multiple sources
- Implemented filtering and sorting functionality

8. _Footboard Prevention System (MSME Project)_
- Designed and developed a footboard prevention system for MSME
- Utilized sensors and IoT devices for real-time monitoring
- Improved safety and reduced accidents by 20%

_Key Technologies Used:_

- AWS Services (EC2, RDS, S3, Lambda, API Gateway, SageMaker, Cognito)
- Programming Languages (Python, Java)
- Frameworks (TensorFlow, Docker)
- Tools (AWS CLI, CloudFormation)
- IoT devices and sensors

_Skills Demonstrated:

- Cloud migration and deployment
- Scalability and performance optimization
- Security and compliance
- Data analytics and machine learning
- Serverless architecture and cost optimization
- Python programming and database interactions
- IoT development and sensor integration
- Project management and problem-solving

Summary:

Enhanced knowledge and skills in designing, deploying, and managing scalable and secure applications on Amazon Web Services (AWS). Gained hands-on experience with various AWS services, including compute, storage, database, security, and analytics.