Christopher Turner

Machine Learning Engineer with expertise in computer vision and predictive modeling. At Apziva, built an AI-driven customer satisfaction model for a logistics startup, identifying on-time delivery as the top happiness driver and improving retention strategies. Also developed a call center AI system that reduced outreach time by 98.03%, maximizing term deposit sign-ups. Separately, applied YOLOv11 to detect Brazil nut trees and fruits in drone imagery, using data augmentations to expand training data, achieving a mAP50 of 0.970 for trees and 0.814 precision for fruits to improve harvest predictions. Proficient in Python, TensorFlow, and geospatial analysis, I turn complex data into actionable insights for business and environmental impact.