Disha Mittal

1. Creating IT Asset registry for auditing. 2. Creating KPI dashboards for security management services that is helping in patching open incidents by 80% 3. Designing framework for Threat detection within cloud native platform

• Creation of Python scripts to implement different AI use cases identified by doing research for Stakeholders • Collaborated with stakeholders to make data-driven decisions, resulting in a 40% improvement in decision-making capabilities • Providing proofreading and content writing for an EU-funded AI project

• Conducted code reviews and analysis along with the implementation of Backend services (Access control, Logging, etc.) using Python- Flask and SQL

Created tables in AWS Athena for data analysis. Utilize QlikSense for data visualization. This would involve connecting to the data stored in Athena, creating visualizations and dashboards to effectively communicate insights, and providing access to the visualizations to the appropriate stakeholders which have helped the credit risk analysis team's efficiency by 50%.

Designed and implemented a data lake using AWS S3 as the primary storage layer, Utilized AWS S3 for storing and managing large amounts of data in a cost-effective and scalable manner. Automated data and CI/CD pipeline for migrating data from different sources to the data lake. Created and maintained cloud formation templates.

• Area of Focus- Data Mining, Ethics and EU Law, Global Risk Analysis and Management, Software Security, Applied Cryptanalysis.