With over five years of experience in data science, machine learning, and computer vision, I am a passionate and driven researcher who aims to apply AI and healthcare solutions to real-world problems. I am currently pursuing my PhD in computer science at Texas A&M University, where I focus on developing novel algorithms and methods for time series analysis and clinical data mining.Previously, I completed two master's degrees in data science and electrical and computer engineering from Northeastern University, where I worked on various projects related to computer vision and healthcare, such as detecting autistic characteristics, lung cancer, infrared face temperature, face mask, and pressure ulcers. I also gained valuable industry experience as a clinical AI researcher at Edwards Lifesciences and an AI research intern at Philips, where I worked on predicting and classifying heart murmurs, 3D registration, and anomaly detection. I am always eager to learn new skills and technologies, and I have obtained multiple certifications in iPhone application development, Hadoop, and R analytics. I am fluent in English, Hindi, and Gujarati, and I enjoy collaborating with diverse and multidisciplinary teams.