I am a dedicated Control Engineering student with a strong foundation in Machine Learning and Deep Learning, dedicated to developing innovative solutions for Fault Detection and Diagnosis. My academic projects focus on integrating control systems with AI to enhance system reliability and performance. I am passionate about transitioning into the professional world and contributing to cutting-edge advancements in automation and intelligent systems.

Developed machine learning and deep learning models to detect anomalies in industrial systems, improving diagnostic accuracy.
Technologies: Python, TensorFlow, Scikit-learn, Pandas

Built interactive visualizations with Pandas and Matplotlib to analyze system performance metrics.
Technologies: Python, Matplotlib, Seaborn, Plotly