James Ding

I'm a data scientist specialising in time-series forecasting and operational analytics, currently working as an Associate Data Analyst at AirSprint Private Aviation in Calgary, Alberta. I hold an MDSA (Master of Data Science and Analytics) from the University of Calgary.

My background spans multiple industries — private aviation (including flight operations, fueling, and catering logistics), agriculture, and logistics — which gives me a practical understanding of the messy, high-stakes operational data that lives behind the dashboards. That cross-industry grounding shapes how I approach problems: I care about the domain, not just the model.

At AirSprint, I built and maintain a production forecasting system that predicts revenue flight hours with 6% weekly MAPE — directly addressing a $49M empty-leg cost exposure and identifying $5M–$10M in savings opportunities. The work runs end-to-end: Snowflake pipelines, Prophet forecasting, LSTM experiments, and QuickSight dashboards consumed by executives.

I'm fascinated by the full analytical lifecycle: raw operational data through EDA, model development, production deployment, and stakeholder storytelling. I believe the best models are only as valuable as the decisions they enable.