NeuroPlex - AI-Powered Medical Diagnostics Revolutionary federated learning platform leveraging cutting-edge neural networks for real-time cancer detection. Features biometric security, Material You design, edge-to-edge UI, and privacy-first architecture. Harnesses quantum AI, glassmorphism, and 2026 innovation for healthcare transformation. 🚀🏥

Analyzed user events from a leading scheduling SaaS platform to uncover what drives activation, engagement, and subscription [Part 2]

Interactive web application to analyize the survival of Endometrial Cancer

UNPUBLISHED: Data analyses showing that animals may adapt to environmental noise by altering behaviors. Urban spiders show greater flexibility than rural ones in coping with variable vibratory noise, likely due to lifelong exposure to anthropogenic disturbances.

Survival models applied to construction companies. Includes Kaplan-Meier, Cox, and analysis of financial and operational factors associated with risk and business continuity.

In this project I analyzed and discussed the main causes for employee turnover by performing survival analysis and implementing a gradient-boosting decision trees, in order to find its reasons.

FedFusionNet++ is a privacy-preserving Federated learning framework for Oral Cancer Detection. It combines SCAFFOLD, FedProx, and AFA with ε=3.0 differential privacy to achieve 89% accuracy on Non-IID datasets—a 23.6% improvement. The hybrid architecture integrates dual-branch CNN and XGBoost ensemble for robust clinical predictions.