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Martin Le Digabel

Development
Quebec, Canada
Skills
Machine Learning (ML)
About
MARTIN LE DIGABEL's skills align with IT R&D Professionals (Information and Communication Technology). MARTIN also has skills associated with Programmers (Information and Communication Technology). MARTIN LE DIGABEL appears to be a low-to-mid level candidate, with 3 years of experience.
Work Experience

Machine Learning Engineer

GEOSAT
January 2023 - December 2023
  • - My mission at GEOSAT was to set up a complete pipeline, from the acquisition of 3D image and LiDAR 2022 data to the production of a territory map, for the detection and spatialization of road damages. My mission was organized as follows: • Led research on state-of-the-art detection methods working with 3D images and LiDAR data • Set up an experimental annotation protocol (based on Weak Labeling) for a faster annotation in a Big Data context • Built, developed and put into production the application GATo (GATo - The Grid Annotation Tool) used by two departments of GEOSAT for data annotation. Main techs: Typescript / React / NodeJS / SQL / Docker • Implemented a Semantic Segmentation module adapted to a weakly-labeled and unbalanced dataset for our case of road data. Main techs: Python / Pytorch / Numpy

Data Scientist / Engineer intern

ERIDANIS
January 2021 - December 2021
  • • Built and maintained Data pipelines with Apache Nifi • Built data models and implemented it in search engine ElasticSearch using its REST API • Made research work on Urban Heat Islands for prospective vizualisation/forecasting works

Risk manager intern

AMUNDI
January 2020 - December 2020
  • Supervized portfolios' risks of the Asset Manager BFT-IM: • Improved and developed the market risk monitoring tools of the department (Excel/VBA) • Controlled and producted risk indicators with Excel/VBA • Led a project on Socially Responsible Investing (SRI)
Education

Dauphine University PSL

Master's degree

LLM

Master's degree

Seoul National University of Science and Technology