Summary
Fernando Zago is a research engineer with a decade of experience turning complex scientific datasets into actionable insights, currently applying his data-pipeline and modeling expertise at Campbell and Company in the DC–Baltimore area. Trained as an astrophysicist (PhD), he has built production-ready databases, automated time-series cleaning pipelines with machine learning, and produced peer-reviewed publications from multidimensional analyses. Comfortable across distributed computing, statistical modeling, and visualization, he brings a rare blend of academic rigor and operational pragmatism—having also automated high-stakes reporting workflows in the banking sector. A proven mentor and communicator, he regularly translates technical complexity for non-specialist audiences and has presented at international conferences, signaling both leadership and collaborative fluency.
10 years of coding experience
9 years of employment as a software developer
Summer School in Statistics for Astronomers, Summer School in Statistics for Astronomers at Penn State University
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at University of Pittsburgh
University of São Paulo
Portuguese, English, Spanish, French, Italian