Rajitha Balguri

• Assisted in the design, implementation, and optimization of Oracle Databases for core insurance business applications, including underwriting, policy management, and claims processing
• Performed data analysis, reporting, and extraction using SQL and Oracle tools to support decision-making and business reporting needs
• Assisted in the monitoring and tuning of Oracle databases to improve performance, scalability, and resource utilization in the insurance environment
• Supported the deployment of Oracle Database patches and upgrades, ensuring that all systems were up-to-date with the latest security features and optimizations
• Collaborated with business analysts and developers to ensure database requirements were accurately met and business goals were achieved
• Managed database backups, recovery strategies, and high-availability setups, ensuring minimal downtime and business continuity for the insurance company
• Provided database-related troubleshooting and support for production systems, resolving issues related to database performance, security, and reliability
• Developed and maintained complex PL/SQL procedures, triggers, and functions to automate data processes and enhance operational efficiency

Large-Scale Automatic Classification for Phishing Network Attacks:

De Mountfort University (2024 feb to 2024 june)

Refers to the use of machine learning and data analytics techniques to automatically identify and classify phishing attacks within a network on a large scale. Phishing attacks typically involve malicious actors attempting to trick users into divulging sensitive information (e.g., passwords, credit card numbers) by pretending to be a trustworthy entity.