Katyaini Raj

I recently graduated with a Master of Science in Data Science from Northeastern University, maintaining a 4.0 GPA. During my program, I served as a Graduate Teaching Assistant for Database Management Systems where I supported students in understanding database concepts, project design, and assessments. Most recently, I worked as a Machine Learning Engineer Co-op at Transformly AI, an early-stage startup, where I led the development of a profitability-focused NPV model, performed clustering and EDA on real-world client data, and deployed ML models using MLOps best practices. My experience also includes optimizing SKU selection and collaborating directly with cross-functional teams, including executive leadership. Before transitioning into data science, I worked for two years as a DevOps Engineer at Infosys, supporting Walmart’s pricing team. There, I gained hands-on experience in CI/CD pipelines, Kubernetes, SQL, and root cause analysis of production issues, strengthening my foundation in software engineering and data operations. With a strong foundation in machine learning, cloud computing, and software development, I’m passionate about building data-driven solutions that create real business value. I’m currently seeking full-time opportunities where I can apply my skills in data science and machine learning to solve complex problems at scale.