UMESH DHORNALA

Motivated individual aiming to contribute to an organization that values challenges, utilizing academic expertise to address problems and facilitate mutual growth.

• Cybersecurity
• Testing

Enhancing Cyber Resilience with AI-Powered Cyber Insurance Risk Assessment

Problem: Organizations face increasing cyber threats, and traditional cyber insurance risk assessment methods fail to accurately predict and quantify evolving cyber risks.

Solution: Developed an AI-powered cyber insurance risk assessment system to enhance cyber resilience by analyzing threat patterns, vulnerabilities, and organizational security posture.

Tech Stack: Python, Machine Learning, Data Analytics, Risk Modeling, Pandas, Scikit-learn

Outcome: Improved accuracy of cyber risk evaluation, enabling better insurance underwriting decisions and stronger organizational cyber resilience.

Iris Recognition System

Problem: Traditional password-based authentication systems are vulnerable to security breaches and unauthorized access.
Solution: Developed an Iris Recognition System for secure biometric authentication using image processing and machine learning techniques.
Tech Stack: Python, OpenCV, NumPy, Machine Learning
Outcome: Achieved accurate and reliable user identification, significantly improving system security.

• English
• Hindi
• Telugu