Presentation
I am Charles Joseph, interested in the field of machine learning with a strong background in cyber security, especially in the field of Penetration Testing.
I work on building models that can understand and predict data, with a focus on using it in security-sensitive environments.
Machine learning is simply the ability to turn data into intelligent decisions—models that learn from patterns rather than being programmed step-by-step.
But here comes the difference...
With my background in cybersecurity, I approach data and models with an "attacker before defender" mentality, which helps me to:
- Anomaly Detection
-Build intelligent systems to detect attacks and intrusions
-Analyze suspicious behaviors within networks and applications
-Think about how to fool forms... Then prevent it
I also have skills in:
-Python
-Data Analysis (Pandas / NumPy)
-Machine Learning Basics
-Cyber Security Fundamentals
-Linux Systems
I believe that the future of security will depend not only on firewalls, but on intelligent systems that anticipate an attack before it happens.

