Summary
Applied machine learning and optimization to unify sensor, lab, and production data across sugar manufacturing operations. Generated frequent setpoint recommendations that adapted to changing operating conditions. Helped engineers reduce process losses and increase yield within operational constraints. Delivered measurable financial and efficiency gains through continuous, data-driven optimization.