I am passionate professional dedicated to transforming complex data into actionable insights that drive innovation and business growth. With over four years of experience in machine learning, data mining, and predictive analytics, I specialize in developing powerful recommendation systems and leveraging advanced machine learning models to solve real-world problems.I'm currently pursuing a Master of Science in Data Science and Analytics at Florida Atlantic University, concentrating on Data Science and Engineering. I have also completed a Graduate Traineeship in Data Technologies and Applications. Prior to this, I earned a Bachelor of Applied Science in Technology Management from Broward College, with a minor in Data Analytics and Information Technology Management.My technical expertise includes proficiency in Python (pandas, NumPy), SQL (Oracle, Astra, Microsoft SQL Server, AWS), and advanced Excel features. I'm experienced in machine learning and deep learning frameworks like scikit-learn, TensorFlow, Keras, and PyTorch, and I'm skilled in data visualization tools such as Matplotlib, Seaborn, and Plotly. I also have experience with natural language processing libraries like NLTK, spaCy, and transformers.Some of my notable projects include developing a convolutional neural network for diabetic retinopathy classification, which improved diagnostic accuracy by 40% through data augmentation and advanced evaluation metrics. I also designed a music recommendation system using collaborative filtering techniques, achieving a 15% increase in prediction accuracy over baseline models. Additionally, I developed a cryptography system using a hybrid of RSA, ElGamal, DES, 3DES, and AES algorithms to create an interactive encryption and decryption tool for enhanced security.