Benoit Parmentier Email & Phone Number

New York, New York, Us

New York, Ny, Us

• Managed team focusing on data production/pipelines, processing and analysis for customers success. • Mentored and trained team members on python, GCP, SQL BigQuery, git. • Automated pipelines, built REST api, standardized processes, created and managed python package for the team. • App deployment using serverless cloud computing with Flask and Streamlit• Contributed and helped build polling and random sampling practices, cluster sampling and spatial random sampling design for surveys.• Served as expert in Geospatial data analyses and processing across projects and the company.

Columbia, Maryland, Us

• Developed models (e.g. lightboost) for users categorization• Worked on NLP processing and models for email classification• Worked on Email volume estimation for customer facing products.• Managed Big Data pipelines production, spark jobs, time series analysis, code debugging, versioning (git)

Orono, Me, Us

• Modeled and analyzed Earth observation time series for urbanization and malaria in African cities.• Managed and provided leadership in projects, analyses and reports.• Set up image processing pipeline, contributed to code base and academic conference presentations.

• Provided research support and training on ML and modeling: random forest, Bayesian methods, Fourier Series, ARIMA, ROC, SVM, machine learning, clustering, statistics, geospatial image processing, PCA/EOF. • Consult on large datasets, data science tools software stack and technology, automated processing workflow, code debugging and technical issues related to code execution.• Mentored on efficient reproducible coding and use of High Performance Computing resources (git, parallel processing, bash scripting, SLURM job submission). • Designed specific code solutions for many projects including time series analyses (seasonal trends) • Generated web content including data science blogs using Jekyll and Hugo. • Initiated, organized and led Geospatial Data Analysis Short Course at the Center. • Supported interdisciplinary research teams on Social and Environmental topics. • Conducted multiple research projects and published scientific manuscripts.

Lead in statistical modeling of water pollution in relation to climate covariates in R.Developed Shiny web application to visualize and explore spatio-temporal patterns of water quality and climate variables. Developed climate and environmental layers for online Maine Decision Support System. Co-authored report for the New England Sustainability Consortium.

Produced automated workflow for global climate and environmental spatial layers using interpolation methods and satellite imagery on NASA Pleiades HPC using R, Python, GDAL. Developed datasets for Land cover in Maine, New England Sustainability Consortium (NEST) and Maine Healthy Beaches using automated python workflow. Modeled environmental change with Spatio-temporal modelling (ARIMA, SAR) and developed the framework for assessing abrupt changes.

Developed interpolation methods ((Kriging, GAMs,GWR) and workflow for the production of spatial layers using satellite imagery on NASA Pleiades HPC with R, Python, GDAL. Developed model accuracy assessment for land cover change with ROC (Delphi and Python).

Boston, Ma, Us

Designed and taught Introductory GIS course for two sections at the EEOS department

Developed models with neural network and machine learning methods for land cover change in Panama using Landsat imagery. Developed methods for large area mapping of agricultural fields using Object Based Image Analysis with Landsat imagery and classification methods (CTA, unsupervised clustering). Reviewed and Developed GIS methodology for Reduction of Emission of Deforestation and Degradation (REDD) projects: Land cover change mapping and carbon accounting. Developed methodology for a Climate Teleconnection-based Early Warning System for Food, Health and Ecosystem Security: Time Series Analysis and GIS with TerrSet and Python. Key contributor to Earth Trend Modeler in TerrSet: Fourier Analysis for Seasonal Trend Analysis, EOF/PCA and Multichannel Empirical Orthogonal Teleconnection analysis. Modeled Emerald Ash Borer Infestation using Hyperspectral imagery and LIDAR with Classification Tree Algorithm, KNN and Maximum Likelihood Classifier.

Taught two sections of Weather and Climate in the department of Geography

Phd, Geography

Des/Master, Cartography And Remote Sensing

Licentiate Degree, Geography

Education record