Freelancer profile translated to English.
Back to original languageAbout Nicolas
[Français | English]
As a PhD in Physics, I approach technical challenges with scientific rigor and a theoretical expertise in AI concepts. My path, initiated by self-directed learning before my academic validation, gives me great autonomy and the ability to efficiently apply a wide range of data & AI methods, with a focus on analytical accuracy and its value for decision-making.
I propose to put this approach into action through several key services:
Core Services:
Data Analysis & Cleaning: Transforming your raw data into a clean, actionable asset.
Automation & Scripting (Python/C++): Building robust scripts to automate your recurring tasks.
Algorithm Prototyping & PoC: Rapidly implementing your ideas to validate their technical feasibility.
French
Native or bilingual
English
Fluent
Russian
Conversational
German
Conversational
Estonian
Basic
Can work on-site
Paris (up to 50km)
Experience
- Efrei ParisData, Machine Learning and Python TrainerEDUCATION AND E-LEARNINGSeptember 2023 - Today (2 years and 9 months)Paris, FranceTeaching Data and Machine Learning targeted for Cybersecurity students.Creating a syllabus focused on using data analysis or machine learning modeling tools on cybersecurity research datasets.Understanding the use of these methods to automate intrusion attempt detection, and to identify abnormal network behavior.
- Paris School of BusinessMathematics and Algorithmics TrainerEDUCATION AND E-LEARNINGSeptember 2019 - Today (6 years and 9 months)Paris, FranceTeaching in Data-Management programs.Topics covered:*** Statistics, visualization, hypothesis testing - providing students with an understanding of the uncertainties to communicate to manage risks for decision-making.*** Machine Learning Tools (depending on the year, in line with other courses) - enabling students to apply algorithms covered in practical courses with fundamental knowledge as support (regression, metrics, gradient descent methods).
- CnamMathematics TrainerEDUCATION AND E-LEARNINGSeptember 2019 - Today (6 years and 9 months)Paris, FranceDistance learning module on mathematical tools for computer science.Topics covered:- Logic and set theory vocabulary- Arithmetic, modular arithmetic, and RSA encryption method- Linear algebra- GraphsTeaching conducted remotely. Creation of educational materials and syllabus structuring.
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Education
- PhD in Physics - Modeling & High-Performance ComputingSorbonne University2016Modélisation de Systèmes Complexes : Conception et développement de simulations numériques avancées pour modéliser des systèmes physiques complexes. Simulation Monte Carlo : Implémentation d'algorithmes Monte Carlo pour la résolution de problèmes stochastiques à grande échelle. Calcul Haute Performance (HPC) : Programmation scientifique (Fortran 90) et optimisation de code pour des calculs massivement parallèles, réduisant significativement les temps de simulation.
- Master in Fundamental Mathematics - Expertise in Analytical RigorUniversité Denis Diderot (Paris 7)2005Maîtrise des structures logiques et des systèmes abstraits (Théorie de Galois, algèbre générale), permettant une approche de "premiers principes" et une application rigoureuse des méthodes numériques. Un socle théorique pour l'IA moderne, via l'étude de la Géométrie Différentielle (essentielle pour le Manifold Learning) et de l'Analyse Fonctionnelle et de Fourier. Capacité à décomposer des problèmes complexes en leurs éléments fondamentaux pour construire des solutions robustes.