Tianyun Wu

Tianyun Wu is currently a Senior Consultant at Amaris Consulting and a Data Engineer Consultant at Ralph Lauren, responsible for providing expert advice on data engineering and system architecture while developing data pipelines and scalable architectures to meet business needs. Previous experience includes a role as Senior Data Scientist at Mastercard, where Tianyun designed advanced statistical algorithms and collaborated on data workflows, and as Data Science Engineer at SessionM, focused on automating analytical applications. Tianyun also served as a Senior Data Scientist at Rifiniti, developing data-driven solutions, and began a career as a Data Analyst at Viscovery Visual Search, optimizing databases and building a business intelligence platform. Tianyun holds a Master of Professional Studies in Applied Statistics from Cornell University and a Bachelor of Science in Physics and Biochemistry from Brandeis University, with additional studies in a Master's program in Computation for Design and Optimization at MIT.