Main programming language for projects and coursework. Experienced with data analysis, machine learning, and AI frameworks such as NumPy, Pandas, Scikit-learn, and PyTorch. Applied in projects including breast cancer classification and computer vision tasks.

Knowledge of C and C++ for algorithm implementation, contest programming, and problem-solving. Used in coursework and practical exercises to strengthen understanding of computational logic and data structures.

Basic knowledge of HTML for creating and adapting project documentation and simple web interfaces. Able to combine with Python or AI models for visualization and interaction.

Familiar with relational databases and data engineering. Experience writing queries to analyze structured datasets and support machine learning pipelines.

Proficient in version control using Git and GitHub. Applied in collaborative AI projects, ensuring code organization, teamwork, and efficient project management.

Solid foundation in supervised and unsupervised learning, with hands-on experience in building classification and regression models. Applied in real projects like tumor classification and mentoring systems.

Practical experience with neural networks, CNNs, and deep learning frameworks. Built models for computer vision tasks and image classification coursework.

Experience in text preprocessing, sentiment analysis, and AI-driven mentoring systems. Interested in applying NLP for real-world problem solving.

Skilled in applying convolutional neural networks and image recognition techniques. Experience with datasets for classification and analysis of visual patterns.