Summary
Juan Herrera is a data science leader and team lead for dividend forecasting at Bloomberg with eight years of industry experience translating advanced models into measurable business outcomes. He blends machine learning, econometrics, network science, time series, causal inference, and computer vision to deliver customer-centric solutions that have driven substantial growth and revenue, including multi-million dollar experiment pipelines and rapid user adoption at fintechs. Trained as a PhD in Food Studies with a rare mix of Economics, Anthropology, and History, Juan applies interdisciplinary methods to problems like supply-chain optimization and credit risk, often using Python, R, SQL, Stata, and Spark in production. He has led and scaled teams, taught at NYU, and deployed GAN-based vision pipelines that materially improved OCR performance. Known for clear communication across technical and non-technical stakeholders, he thrives in fast, iterative environments focused on rapid delivery. An unexpected strength is his work using network science on historical food data—an approach he leverages to uncover structural insights in financial and consumer datasets.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Food Studies and Food Management, Doctor of Philosophy (PhD) Food Studies and Food Management at New York University
PhD - Visiting Researcher Network Analytics, PhD - Visiting Researcher Network Analytics at NYU Shanghai
Complex Networks: Theory Methods and Applications Physics, Complex Networks: Theory Methods and Applications Physics at Lake Como School of Advanced Studies
Universidad de los Andes
ICPSR Summer School Social Network Analysis Advanced Social Network Analysis, ICPSR Summer School Social Network Analysis Advanced Social Network Analysis at University of Michigan
Spanish, English