A recent graduate in Computer Science with a robust foundation in programming, algorithms, and software engineering. Experienced in developing AI-powered solutions through hands-on academic projects and professional internships.Successfully completed the "NeuroAI: Brain Tumor Detection and Prognosis with Deep Learning" project, reducing time and assisting neuro surgeons in early diagnosis using advanced deep learning techniques.Proficient in Python, TensorFlow, Keras, and scikit-learn, with expertise in data preprocessing, model training, and evaluation. Skilled in implementing cutting-edge algorithms such as CNNs, RNNs, and ensemble methods to drive actionable insights.Detail-oriented, a fast learner, and highly effective in cross-functional team environments. Passionate about contributing to innovative organizations that leverage AI and machine learning technologies to solve real-world problems.