Saindla Akshay Kumar

Developed a Payroll Database Management System to automate employee payroll processing, salary calculations, tax deductions, and report generation. The application streamlined payroll operations for over 100 employees while ensuring data accuracy and security.
Responsibilities:• Developed employee, salary, and payroll management modules using Flask and MySQL.• Implemented SQL JOINs, triggers, and stored procedures for efficient data processing.• Automated salary and tax calculations, reducing payroll errors by 90%.• Designed and developed a Bootstrap-based admin dashboard.• Generated secure PDF payroll reports and employee salary statements.• Implemented input validation and security measures to prevent SQL injection attacks.• Maintained database integrity and optimized query performance.

Developed a real-time ransomware detection system that continuously monitors file operations, process execution, registry changes, API calls, and network activities. The system uses behavioral analysis and machine learning models to identify ransomware threats before file encryption occurs and automatically mitigates detected attacks.
Responsibilities:• Developed real-time monitoring modules for file, process, registry, and network activities.• Extracted behavioral features from system logs for threat analysis.• Implemented Random Forest-based machine learning models for ransomware detection.• Built anomaly detection mechanisms to identify unknown ransomware variants.• Developed an interactive dashboard for real-time threat monitoring and visualization.• Automated threat mitigation through process termination, file quarantine, and alert generation.• Generated PDF security reports and incident logs for forensic analysis.

Developed a Cyber Insurance Risk Assessment Tool to analyze historical cyber insurance claims, evaluate organizational cyber risks, and estimate potential financial exposure. The system performs data preprocessing, threat classification, trend analysis, and risk profiling to support insurance underwriting and cyber risk management decisions.
Responsibilities:• Developed risk assessment models using Python, NumPy, and Pandas for cyber-loss prediction.• Processed and analyzed cybersecurity incident datasets to identify threat patterns and trends.• Evaluated ransomware, phishing, and data breach risks across multiple industry sectors.• Generated quantitative risk scores to support insurance underwriting and policy pricing decisions.• Created interactive visualizations and breach trend reports using Matplotlib.• Automated risk analysis workflows, reducing assessment time by 70%.• Improved decision-making accuracy through data-driven cybersecurity risk evaluation.