Alexander Tedeschi is a Data Science Engineer with a decade of experience turning large-scale spatial and spatiotemporal data into operational insights, currently building BirdCast and analyzing radar to study migratory bird behavior at the Cornell Lab of Ornithology. His background spans industry and academia, from developing real-time GIS applications and instrumented data pipelines for Uber/JUMP to modeling AIS vessel activity and path prediction at Rystad Energy. He combines strong geospatial foundations (MSc in Geospatial Technologies) with practical data engineering and statistical modeling to deliver reproducible pipelines and production-ready analytics. Fluent in cross-disciplinary collaboration, he has applied GIS and language skills in international research and field projects—from historical trade networks at Harvard to on-the-ground population studies in the North Caucasus. A subtle throughline in his career is translating complex spatial phenomena into intuitive visualizations and decision-ready metrics that support both operational teams and scientific inquiry.
10 years of coding experience
7 years of employment as a software developer
Kazan State University
Bachelor of Arts (B.A.) History and Global Studies, Bachelor of Arts (B.A.) History and Global Studies at St. Lawrence University
Master of Science (MSc) Geospatial Technologies, Master of Science (MSc) Geospatial Technologies at Universidade Nova de Lisboa
Master of Science (MSc) Geospatial Technologies, Master of Science (MSc) Geospatial Technologies at Universität Münster Professional School
CIEE summer language program Russian Language and Literature, CIEE summer language program Russian Language and Literature at Smolny Institute
Data Science Retreat
Master's degree Regional Studies of Russia, Master's degree Regional Studies of Russia at Harvard University
Generates vertical profiles of birds from weather radar volume scans
Contributions:354 pushes in 2 months
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