Rôles occupés
Back-end
Miscellaneous
Business Intelligence
Reading, cleaning, visualization, statistical analysis and labeling of data for artificial intelligence; Algorithms: classification, regression, neural networks; IT projects: database handling, recommendation systems, emotions recognition, images recognition, binary prediction, dashboards for data visualization.
Data extraction, transformation and analysis; Numerical programming/calculation, reporting and communication, documents writing.
Teaching Physics and Mathematics in middle and high school; assisting in the Department of Physics.
Data exploration and analysis; Using existing code models for data calculations, knowledge transfer.
Reading, cleaning, visualization, statistical analysis and labeling of data for artificial intelligence.
Thesis: development of a code for modeling of nuclear reactions cross sections in a unified framework (C++).
University project: nuclear data computation, use of nuclear structure code.
Teaching Assistant, Faculty of Physics.