Kankawee Nilthajan

Kankawee develops machine learning solutions and data science applications using Python, SQL, and R across AWS, Azure, and Google Cloud platforms. Her portfolio demonstrates implementations in fraud detection systems, sentiment analysis tools, customer churn models, and recommendation engines. These projects showcase practical applications of supervised and unsupervised learning techniques at production scale. Her technical work encompasses natural language processing pipelines, computer vision systems, and deep learning architectures deployed across multiple industries. She maintains documentation of her machine learning engineering practices through technical blog posts and project repositories. Her development approach integrates cloud-native architectures with established data science frameworks. Beyond her core technical practice, Kankawee contributes to music industry projects through data-driven streaming platform analytics. Her Linktree aggregates her technical portfolio, engineering blog, and music industry work. This digital presence reflects her ongoing engagement at the intersection of data science and creative technology.