Part of the SPDR (Security-Privacy-Data-Reporter) team, which is the scanning and classification tool for the company and is responsible for detecting any sensitive information lying in various db's, as per the infosec rules.- Developed enumeration and ingestion connectors with optimized random records selection from NoSQL database MongoDB and logging tool Splunk. Technology Used: Java, SpringBoot, Maven- Designed and implemented 7 Class-2 PCI elements along with the script to… Show more Part of the SPDR (Security-Privacy-Data-Reporter) team, which is the scanning and classification tool for the company and is responsible for detecting any sensitive information lying in various db's, as per the infosec rules.- Developed enumeration and ingestion connectors with optimized random records selection from NoSQL database MongoDB and logging tool Splunk. Technology Used: Java, SpringBoot, Maven- Designed and implemented 7 Class-2 PCI elements along with the script to generate synthetic datasets which expanded the SPDR PCI model coverage for Class 2 Restricted PCI elements from 20% to 100%. Technology Used: Python3- Designed and implemented PCI-Crypto models convergence to improve the scan velocity to bring down the entire scanning time. The newly converged model reduced the combined ingestion and scanning time by ~26%. Technology Used: Python3- Worked to improve several SPDR KRIs throughout the role where the important task was to solve the Oracle connectivity problems and drive the ES scanning to 95% from under 40% in just two sprints to achieve the team's year-end goal. Technology Used: Java, MySql- Designed and implemented new API's for next gen SPDR tool (known as Discovery 2.0) and worked on various deployment related tasks in GKE. Technology Used: Java, Graphql, MySQL, Docker, Kubenetes Show less

Developed and modeled Machine Learning models for forecasting and visualizing Time-Series Data and even worked using the Deep Neural Networks.Python3 and Keras were used as programming tools during the internship.