Luis Caezar Ian Panganiban
Ian is a driven data solutions developer specializing in the integration of geospatial intelligence across diverse systems and domains. His career spans research and engineering roles that bridge science, sustainability, and digital transformation. Ian has contributed to ocean renewable energy initiatives, led geospatial software development, and architected cloud infrastructure for a geoscience AI startup. He currently serves as a machine learning engineer at a solar design software company, advancing its mission to power the world with sunshine through intelligent, data-driven solutions.
Session
The convergence of Location Intelligence and Artificial Intelligence—known as GeoAI—is reshaping how we interpret the physical world. From using satellite imagery to predict crop yields to analyzing GPS traces for logistics, applying machine learning to spatial data is becoming essential for modern data scientists. This two-hour workshop offers a practical roadmap for building end-to-end Geospatial Machine Learning pipelines in Python.