Rachel Haggard is an applied data scientist with over ten years of experience transforming complex, multi-dimensional data into actionable insights. Her work spans advanced statistical modeling, machine learning, and geospatial analysis, with a strong focus on translating research and policy questions into decision-support tools. She has led analytics and data strategy across global health, agriculture, and financial consulting contexts, supporting governments, donors, and institutions with data-driven planning and operations.
Rachel brings deep technical expertise in Python, R, and GIS, along with a proven ability to communicate complex findings through dashboards, reports, and stakeholder engagement.