I'm currently finishing my last year as an aerospace engineer student at IPSA, but I've also been self-teaching myself data science and mostly deep learning applied to computer vision for the past year.
I'm currently doing an internship in remote sensing, using satellite imagery to monitor deforestation. Using Random Forest to find where Forests disappear, basically.
In this context, I would like to start working on freelance projects, both to improve and apply my skills in applied contexts, ranging from data visualization, to data cleaning and pre-processing and the development of machine learning models.
I have a wide background in aerospace and aviation engineering, but am also learning more everyday about machine learning, through online media and Kaggle competitions. My engineering background provides me with a solid mathematics background, as well as project and resource management.
For data science, I mostly focus on computer vision but am also interested in wider machine learning, through the use of multiple libraries in Python:
- Numpy, Pandas, Seaborn, Matplotlib, for data handeling and visualization.
- Keras, Scikit-learn, XGBoost for machine learning and deep learning models.
As for GIS, I'm using QGIS with Python (gdal, geopandas, shapefile, etc.) mostly.
Along with technical skills, I have important communication skills, and quick learning capabilities.
I am totally fluent in English and French, and speak very basic German, Russian and Chinese.