As a recent Master's graduate in Computer Science from Indiana University Bloomington, I have a solid foundation in programming languages such as Python, Java, JavaScript, Go, Kotlin, and C++. My academic journey, capped with a GPA of 3.87/4.00, has equipped me with expertise in frameworks like TensorFlow, Keras, and Django, as well as a deep understanding of SQL and cloud computing. I have specialized in applied machine learning, data structures and algorithms, software engineering, and cloud computing, preparing me to tackle contemporary technological challenges effectively. In my current role as a Machine Learning Engineer at IU Kelley School of Business, I develop predictive models to improve healthcare outcomes and reduce costs. Leveraging advanced data engineering techniques, I have optimized interventions, significantly increasing accuracy and efficiency. My internships at Veritas Technologies and Sagitec Solutions further sharpened my skills in software development and machine learning, leading to innovative solutions that enhance resource utilization and user engagement. I am actively seeking full-time roles as a Data Scientist or Software Engineer, with a keen interest in data-driven decision-making, project management, and the emerging field of Generative AI. My expertise in data science, statistics, and mathematics positions me well to contribute to dynamic and forward-thinking teams. Let's connect and explore how we can collaborate to drive impactful results through the power of data and technology.