Programming Skills

During the early stages of my undergraduate studies, I built a solid foundation in programming through C and Python, which helped me grasp computational problem-solving and algorithmic thinking. As my coursework and research evolved, MATLAB became an integral part of my daily workflow—developing and implementing over 15 core projects involving data analysis, simulation, and visualization. Over time, I expanded my toolkit to include advanced data-science and machine-learning libraries for more complex tasks.

Core Competencies

• C – Fundamental programming and logic development

• Python – Automation, data processing, and model implementation

• MATLAB – Numerical analysis, simulation, and visualization (15+ projects)

• TensorFlow – Deep learning and neural-network modeling

• Seaborn & Matplotlib – Data visualization and graphical analytics

• Pandas & NumPy – Data manipulation and scientific computing