Is a skilled data scientist with deep expertise in predictive modeling, segmentation, and AI-driven insights. She has built and refined numerous models tailored to the telecommunications industry, driving significant business outcomes such as customer churn reduction, revenue growth, and customer lifetime value optimization. With a strong foundation in statistical modeling and machine learning, she is proficient in advanced algorithms like neural networks, text analytics, and survival analysis.
Megan has successfully led projects that leverage AI for predictive analytics, focusing on customer behavior and influenceability.
She holds a Ph.D. and Master's in Economics from the University of Miami and a Bachelor's Degree in Electrical Engineering from Tsinghua University, China.