Summary
Aryan Shah is a data analyst and Statistics & Data Science undergraduate at the University of Wisconsin–Madison who turns complex telemetry and business data into clear, actionable insights. With hands-on experience at WildWorks, he has defined 50+ telemetry events, documented 150+ AWS Glue pipelines, and maintained Tableau dashboards fed by 100+ Redshift sources to support cross-functional decision-making. He combines statistical modeling and machine learning fundamentals with practical tooling—Python, R, SQL, Seaborn, and Tableau—to analyze 15,000+ daily data points and produce SKU profitability and trend reports. Comfortable communicating with both technical and non-technical stakeholders, he has experience translating requirements into unified schemas that reduce implementation ambiguity. A former student leader and debate coach, Aryan brings strong collaboration and presentation skills alongside analytic rigor. He’s actively building toward roles in data analysis or data science with an eye toward computer architecture and scalable data pipelines.
9 years of coding experience
Bachelor of Science - BS, Statistics and Data Science, Minor in Economic Analytics, Bachelor of Science - BS, Statistics and Data Science, Minor in Economic Analytics at University of Wisconsin-Madison
High School Diploma, High School Diploma at The Cambridge International School Dubai