I'm an Electronics and Computer Engineering student passionate about solving real-world problems through technology. My work spans data science, cybersecurity, and networking. I enjoy building projects that combine analytical thinking with practical implementation, continuously strengthening my technical and problem-solving skills.
I'm currently focused on building projects involving data analysis using real-world datasets, and malware analysis.
Languages
Data Science & Machine Learning
Cybersecurity & Networking
Tools & Platforms
Human or Machine?
A text-classification machine learning system that uses a Random Forest model to determine whether text is human-written or AI-generated. It features linguistic feature engineering (like readability indexes and word counts), feature-integrity auditing, and an interactive Gradio web dashboard.
Tech stack: Python, Pandas, NumPy, Scikit-learn, Random Forest, Gradio
Social Sentinel
An open-source NLP tool and interactive application designed to analyze text messages and emails for social engineering tactics and phishing threats. It evaluates indicators like artificial urgency and psychological manipulation using multi-model classification algorithms.
Tech stack: Python, Scikit-Learn, TF-IDF, Gradio
- Artificial Intelligence & Large-Scale Data Analytics
- Advanced Malware Analysis & Windows Internals
- Network Routing, Switching, and Security
I aim to build practical solutions that bridge software, data, and security. Feel free to reach out, explore my repositories, or collaborate on interesting projects!