Khaled Chaabouni

Background

About Khaled Chaabouni

Passionate about the intersection of data science and cybersecurity, I am an engineering student specializing in Data Science and advancing my expertise with a Master's in Cybersecurity. My journey is fueled by an unwavering commitment to safeguarding digital landscapes and harnessing the power of data to drive innovative solutions. Proficient in Python, with extensive experience in machine learning frameworks such as Keras and Scikit-learn, I excel at developing predictive models and data visualizations using Matplotlib and Seaborn. My analytical skills are further enhanced by a strong foundation in statistical analysis with Scipy and data manipulation with pandas and numpy. My web development proficiency includes HTML, CSS, JavaScript, and PHP, allowing me to create robust and user-friendly applications. In the realm of cybersecurity, I am skilled in network security analysis with tools like Wireshark and Burpsuite, as well as penetration testing using Nmap, Metasploit, John the Ripper, SQLMap, and Hashcat. Additionally, I have a solid understanding of network automation and programmability, supported by my DEVASC certification. Throughout my academic and professional journey, I have demonstrated a talent for collaborative innovation. Whether it's crafting a banking credit scoring model with machine learning or developing a voice-activated chatbot for seamless customer interactions, I am driven by a relentless determination to enhance digital security and data integrity. I am eager to connect with like-minded professionals and explore opportunities where I can contribute my skills and passion to impactful projects.