Christina Bogdan
Principal Data Scientist - Digital Farming Solutions
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolChristina Bogdan is a Principal Data Scientist specializing in digital farming solutions with 10 years of experience building production software and IoT-informed data pipelines. Based in New York, she has progressed through technical and leadership roles at The Climate Corporation—where she led a small team developing scalable data-quality algorithms for agricultural machine data—and now at Bayer. Her work blends hands-on algorithm development, root-cause analysis of yield monitor data, and building model pipelines that operationalize domain-specific representations of messy sensor streams. Christina holds an MS in Data Science and a BA in Mathematics from NYU, and is known for translating complex field telemetry into robust, production-ready algorithms that improve decision-making for growers. Notably, she pairs deep technical rigor with practical deployment experience across both startup and enterprise environments.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree Data Science, Master’s Degree Data Science at New York UniversityHigh School, High School at Stuyvesant High School
Romanian, English
Github Skills (29)
geometry7
spatial6
cpp6
geopandas6
geospatial6
python6
geographic6
geography5
keras5
distributed-computing5
geometry-library5
apache-spark5
spark4
machine-learning4
opengl4
Programming languages (4)
Github contributions (5)
TheClimateCorporation/photon-ml
Nov 2017 - Jul 2023
A scalable machine learning library on Apache Spark
Contributions:2 PRs, 2 pushes, 2 branches in 5 years 8 months
scalabledata-sciencemlmachine-learningapache
christaina/christaina.github.io
Jun 2017 - Sep 2019
Contributions:30 pushes, 2 branches in 2 years 3 months
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