As a graduate with a Master's degree in Computer Science from Purdue University, I am passionate about applying machine learning and deep learning techniques to solve real-world problems. I have a solid foundation in Python, SQL, R, C++, and Julia programming languages. I am experienced in working with popular machine-learning libraries such as Pandas, Scikit-learn, Seaborn, PyTorch, Keras, and TensorFlow.I have experience conducting research, having worked on projects such as predicting earthquake trends, surveying document databases, and developing a graph-based keyword extraction tool. I co-authored a conference paper on graph-based keyword extraction for Twitter data, which was published in Springer's Lecture Notes in Electrical Engineering.I am skilled in various databases, including SQL, MySQL, BigQuery, and NoSQL, and I enjoy exploring and implementing new technologies to build robust and efficient systems.With a solid academic background and a deep interest in machine learning and data science, I am excited about new opportunities to learn, grow, and contribute to the field.