Professional Profile Computer Science Engineer, option: Operations Research & Optimization (M2INFO_RO - 2016) from ENAC (Ecole Nationale de l'Aviation Civile), I apply my expertise in operations research, advanced algorithms, and software development (C++, Java, Python) to projects across various industrial sectors. My combined scientific and technical skills enable me to develop robust and optimized solutions tailored to challenges of performance, reliability, and operational efficiency.
This project aims to develop and implement a Machine Learning algorithm able to detecting anomalies in a system, using novelty detection and outlier detection techniques.
Detailed Description
Development and implementation of an algorithm in Python with Scikit-learn, presented as a Jupyter Notebook.
Examples of practical applications:
Identification of defects in parts on the manufacturing line
Detection of financial fraud in the banking sector