Nico Buxbaum

Q: What is Nico Buxbaum email address?

Email Nico Buxbaum at nicobuxbaum@gmail.com and nico.buxbaum@lexisnexis.com. This email is the most updated Nico Buxbaum's email found in 2026.

Q: How to contact Nico Buxbaum?

To contact Nico Buxbaum send an email to nicobuxbaum@gmail.com or nico.buxbaum@lexisnexis.com. (updated on August 26, 2024)

Senior Imagery Data Scientist II at LexisNexis | San Francisco Bay Area

About Nico Buxbaum

Nico Buxbaum serves as a Senior Imagery Data Scientist II at LexisNexis, where he leverages his extensive expertise in machine learning and geospatial data analysis to drive innovative solutions in land use analysis and property understanding. With a robust toolkit that includes PyTorch, PyTorch3D, and ONNX, Nico is adept at developing sophisticated forecasting models and advanced object detection algorithms. His work often involves semantic segmentation and key point detection, enabling precise insights from satellite imagery and remote sensing data.

Currently, Nico is spearheading key projects that utilize cloud deployments on Google Cloud, ensuring scalable and efficient processing of large geospatial datasets. His proficiency in tools like MLFlow and Docker facilitates seamless model management and deployment, while PostgreSQL and SQL are integral to his data handling and analysis workflows. By employing libraries such as Pandas, Numpy, Rasterio, and Shapely, he enhances data annotation and augmentation processes, ultimately improving the accuracy of predictive models.

Nico's passion for agriculture and controlled environments drives his commitment to applying machine learning techniques in real-world scenarios, particularly in optimizing land use and enhancing property assessments. His contributions not only advance LexisNexis's capabilities in the field but also position him as a thought leader in the intersection of geospatial analytics and machine learning. As he continues to explore the potential of technologies like Kubeflow and Ray Tune, Nico remains dedicated to pushing the boundaries of what is possible in imagery data science.

Nico Buxbaum Work