Experience

LNEC

• Portugal
• Civil Engineering
• 200 - 300 Employee

• Machine Learning Intern

  • May 2023 - Present

  Machine Learning pour l'analyse de données de radars à pénétration de sol (RPS) (en anglais GPR, acronyme de Ground Penetrating Radar). Détection de comportements anomaux dans les données (outliers detection) Machine Learning pour l'analyse de données de radars à pénétration de sol (RPS) (en anglais GPR, acronyme de Ground Penetrating Radar). Détection de comportements anomaux dans les données (outliers detection)



Université Gustave Eiffel

• France
• Higher Education
• 700 & Above Employee

• Data and software engineer

  • Sep 2021 - Present

  -> Responsible for the data management part of the "FURBAIN" research project on the analysis of the societal impact of urban road network construction sites. • Extraction, transformation, loading of millions of synthetic population simulation data and geodata in a PostgreSQL database using PostGIS • Performed queries on geographic data using the tools such as SQLAlchemy, Pandas, python multiprocessing • Creation of a Flask API • Created and contributed to the open-source Python libraries "matsim-output-postgreSQL-converter" and "matsim-python-tools" allowing the management of data generated by the software MATSim -> Participated in the design, development, and maintenance of the commercialized project "Alizé2 within a team of 4 people in an agile environment. (Qt, C++, JS) Laboratory of Auscultation, Modeling, and Experimentation of Transport Infrastructures (LAMES) Show less



BEOTIC

• Software Development
• 1 - 100 Employee

• Web Application Developer

  • Apr 2021 - Jun 2021

  Analysis, design, development and integration of a responsive web module for managing tutorials within a project management software. Creation of a dashboard to analyze the data generated by the web application. Analysis, design, development and integration of a responsive web module for managing tutorials within a project management software. Creation of a dashboard to analyze the data generated by the web application.