Emotional Recognition Project

Worked as a Data Scientist for this project. It is a platform for automating emotional insights from social commentary and open-ended text. It is the easiest and most accurate Customer Insights platform to instantly analyze digital conversations. 

Worked on different AWS services including Lambda, EC2, SQS, SNS, VPC, S3, CloudWatch, RDS, and API Gateway. 

Logging and Monitoring: Built a central place for different server logs using AWS CloudWatch. All the server logs were getting generated on AWS CloudWatch. Parsed the logs through python scripts from CloudWatch and extracted common information from them. Wrote python scripts in AWS Lambda. 

For Disk Exhaustion: Created Alarms in AWS CloudWatch whenever the disk (EC2) is about to exhaust. AWS SNS sends an email notification. 

Survey Pipeline: Made their services serverless by shifting their legacy code placed on different EC2 machines to AWS Lambdas. It was quite a challenge to preserve the old libraries of legacy code while migrating them to AWS Lambda.