I am a passionate AI and Machine Learning enthusiast with hands-on experience in developing and deploying machine learning and deep learning models. Skilled in Python, TensorFlow, Keras, PyTorch, and Scikit-learn, I have built projects ranging from image classification and predictive analytics to natural language processing applications. I also have experience with data preprocessing, feature engineering, and visualization using Pandas, NumPy, and Matplotlib/Seaborn.
During my academic and internship experiences, I have applied AI/ML techniques to real-world problems, including disease detection, recommendation systems, and predictive modeling. I am keen on continuously learning emerging AI technologies and contributing to innovative solutions in a collaborative environment.
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