• Performed threat modeling on 20+ applications in the financial services industry, by creating the application architecture diagram and accessing each component that directly addresses the application risks and successfully obtained consensus on risk classification, facilitating informed decision-making and proactive risk mitigation strategies• Identified 11+ manual threats by applying the STRIDE methodology meticulously to assess the security landscape and recommended associated mitigation strategies, fostering consensus on risk prioritization from related stakeholders• Utilized a combination of risk assessment methodologies during the pre-production stage to identify 3+ manual threats and prioritize potential threats and their impact on the application's security and collaborated closely with stakeholders to align risk classifications with organizational objectives, and risk appetite, ensuring a unified understanding and approach towards risk mitigation efforts• Collaborated with different teams, to ensure alignment with business objectives and regulatory requirements, resulting in a more robust and resilient BIA framework enhancing robustness and resilience• Saved 71% of the cost by implementing a best practice strategy for the client as a part of the business development activities, which was appreciated by the director level and also helped EY in renewing the contract• Reduced customer toil and freed up the client by supporting their internal threat modeling activities which leads to improved efficiency and effectiveness in achieving their core business activities.

• Assessed client’s ransomware resilience capabilities, identified and recommended areas for improvement to recover critical business capabilities more effectively• Submitted research paper at one of the largest international security conferences on the significance of real-time intervention using Artificial Intelligence and Machine Learning in cybersecurity• Built an enhanced unique repository of strengths and gaps from NIST-based cyber assessment observations to ensure an easy, efficient, and quick delivery of future assessments.

• Project 1: Successfully automated 35% of the total manual workload in the project. Developed, tested and deployed scripts for various manual tasks in Windows and AD, VMware. Handled ad hoc client requirements and coordinated from onsite location, arranging cross-team meetings, ensuring quality and smooth delivery with minimal defect and issue rate of 1%. Trained team of 2 for post-deployment support• Project 2: Given the responsibility of bringing new projects to the team, initiated and saved 25% of the total manpower through PowerShell for tasks in Windows and AD. The in-house idea to reduce workload helped reach out to more clients with less manpower. Supervised and trained a team of 3 for post-deployment supports• Project 3: Performed End to End automation for Oracle Database Migration using Shell scripting and increased 10% productivity of the account and increased efficiency, reduced the delivery time, and in turn, allowed the account to gain recognition from the client• Project 4: Worked as a shared resource to meet 30% of the targeted workload automation using PowerShell, and Shell Scripting and increased efficiency. Analyzed and identified potential areas for reducing man-hours• Project 5: Performed End-to-end automation that included developing, framework and workflow. Automated software provisioning, configuration management, and application deployment through Ansible to increase 20% of the productivity of the account and reduce the delivery time and deployment complexity• Project 6: Automated 25% of the total workload in Windows and AD, VMware, UNIX, and MySQL. Successfully brainstormed and built strategies for cross-skill training and helped increase resource utilization time by 5% in the initial phase.