John Adkins

I am a versatile Data Analyst and Data Scientist with a strong background in sports and business analytics, skilled at transforming complex data into clear, actionable insights for stakeholders at all levels.

In consulting and analyst roles I provide technical and accounting support in the strategic management of working, mineral and overriding royalty ownership interests across multiple states and I supported forecasting to optimize managerial decision-making. As a Pricing Analyst I automated business operations with Python, cutting manual processing time by 50% and produced actionable reports using Snowflake and SQL.

I co-developed advanced Tableau dashboards and InsideOut Pickleball tracking tools integrated with Excel and R, and I implemented rigorous quality assurance processes to validate data accuracy. I routinely maintain recurring dashboards that merge data from different sources and identify pricing inefficiencies and key performance metrics for Major League Baseball games.

I hold a Master of Science in Sports Data Analytics (Thesis in NHL Draft Strategy, 3.70 GPA) and completed Data Analytics coursework including H2O Regression, Neural Networking and Anomaly Analysis. I apply machine learning, predictive modeling and AI pragmatically to evaluate and forecast outcomes in sports and business contexts.