Benoit Parmentier
Data Scientist III
City of Poughkeepsie, New York, United States
Summary
👤
Senior🎓
Top SchoolBenoit Parmentier is a seasoned Data Scientist and Geospatial Scientist with 15 years of experience applying ML, computer vision, and NLP to large-scale Earth observation and weather datasets. Currently at AccuWeather, he bridges research and production—building end-to-end geospatial pipelines, satellite imagery models (including SAR-based boat detection), and scalable ML engineering solutions on cloud and HPC platforms. He has led teams, mentored engineers, and standardized data production practices while contributing to applied research throughout academia and industry. Benoit’s toolkit spans Python, PyTorch/TensorFlow, Spark, Kubernetes, BigQuery, GDAL and Google Earth Engine, reflecting a rare combination of deep domain expertise in remote sensing with operational data engineering. Notably, he blends scientific rigor from his PhD work with product-focused delivery, often serving as the go-to expert for complex geospatial data challenges.
15 years of coding experience
5 years of employment as a software developer
PhD Geography, PhD Geography at Clark UniversityLycée de BerlaymontDES/Master Cartography and Remote Sensing, DES/Master Cartography and Remote Sensing at Universite Libre de Bruxelles
French, English
Github Skills (5)
python4
machine-learning3
raster3
r-package3
traffic1
Programming languages (2)
Github contributions (5)
bparment1/data_science_and_geospatial_analysis_with_python
Apr 2019 - Oct 2019
Contributions:25 commits, 12 pushes, 1 branch in 6 months
bparment1/workshops_courses_spatial_analyses
Mar 2017 - Apr 2019
Contributions:345 commits, 35 pushes, 1 branch in 2 years 1 month
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