Vincent Larmet

Double competence: Software Development & Data Science

Engineer by training with over 6 years of experience in scientific research, I now support my clients on projects combining data processing, modeling, and business application development. My background allows me to work on data analysis and structuring as well as on the design of reliable and efficient tools.

After several years focused on data science and applied statistics, I now work primarily as a Python developer, with expertise in industrial-quality desktop applications (Qt/PyQt). This dual culture allows me to offer complete solutions: from the analytical prototype to the final application usable by teams.

I mainly develop in Python, with advanced experience in C++ for performance and scientific computing issues. Strong experience with R as well.

Key software development skills:

• Python/Qt application development

• User interface and business tool design

• Databases (PostgreSQL, SQLite, SQL)

• API and backend service development (REST)

• Server deployment and maintenance

Key data science skills:

• Statistical modeling, causal inference, econometrics

• Machine Learning and predictive models

• Computer Vision, geomatics, and remote sensing

• Algorithms and scientific computing

• R Shiny web apps

Distinctions:

➜ Eleganza Prize (Humyn.ai, 2022) – 3D segmentation from CT scans

➜ 1st prize (Kaggle 2021) – water resource prediction

➜ 4th prize (Kaggle 2020) – NO2 emission estimation from satellite imagery

Personal projects:

➜ Development of a high-performance R package (cppRouting), written in C++.

➜ Design of an R Shiny application (vlarmet.shinyapps.io/accessibilite)

Feel free to contact me to discuss your project.