Kusal Rathnayake

WORK HISTORY

EDUCATION

ABOUT KUSAL RATHNAYAKE

Data Science and Machine Learning professional with over 5 years of experience designing scalable models and delivering impactful, data-driven solutions. Skilled at transforming complex datasets into meaningful insights, developing end to end machine learning pipelines and achieving measurable business impact. Strong background in Subrogation, classification models in insurance and product analytics. Expertise in statistical modeling, machine learning model implementation, database management and prompt engineering. Experienced in working on an Agile team while collaborating with data engineers, software engineers and product teams to address business needs and provide analytical solutions.With a strong foundation in advanced statistical modeling, machine learning, and data visualization, I specialize in analyzing large and complex datasets to uncover meaningful patterns and deliver actionable insights. My experience spans the end-to-end development, deployment, and upkeep of ML models for property and workers\' compensation subrogation, as well as LLM-based models for summarization and entity extraction within property and workers\' comp insurance domains. I’ve also supported General Liability insurance product teams through data-driven product analytics. Proficient in data extraction, preprocessing, and developing robust data products within Snowflake. I’ve built and maintained model performance monitoring dashboards using QlikSense. I also have a strong academic background, with a PhD in Statistics from Texas Tech University, and publications in peer-reviewed journals.