Dr Priyaa Thavasimani

Responsible for driving strategy, design and delivery of data science and AI solutions addressing clients' critical business challenges across industries. Developed generative AI LLM solutions to classify engineering notes, timesheet automation tools to optimize payroll accuracy, and implemented predictive models to reduce customer churn. Authored white papers on AI and data governance and led cross-functional collaboration ensuring business and technical alignment. Delivered resource optimization models using Databricks, built end-to-end data pipelines with robust security to enhance reporting accuracy, and secured significant funding for key projects.

Responsible for driving the strategy, design, and delivery of data science and AI solutions addressing critical business challenges for clients across industries. Developed generative AI solutions such as LLM systems for facility management clients, improving operational efficiency by automating note interpretation and timesheet processes. Advised on leveraging data, machine learning, and AI responsibly to unlock value, optimize processes, and enhance decision-making.

Led AI initiatives including developing advanced language model-based chatbots and predictive models to optimize retention efforts and reduce churn. Implemented governance frameworks for responsible AI deployment and robust data management. Authored comprehensive white papers on AI ethics and data governance, orchestrated collaboration across data engineering, data science and business intelligence teams, and enhanced operational efficiency and customer service through automation.