06/04/2024 updated
IA
100 % available
Data Scientist
Grenoble, France
Worldwide
MS applied mathematicsHTMLApplication Programming Interfaces (APIs)Bash ShellBoost (C++ Libraries)C++ (Programming Language)Cascading Style Sheets (CSS)CMakeNvidia CUDAData MiningDjangoEigen (C++ Library)GitHubPython (Programming Language)Machine LearningNumPy
API, bash, boost, C++, CSS, CUDA, Cmake, intégration continue, Data Mining, Création d'une base de données, nettoyage des données, traitement des données, manipulation de données, Deep Learning, Python Django, django, Docker, Eigen, feature engineering, SIG, Git, Github, Gitlab, gitlab CI, HTML, Jupyter, algorithmes d'apprentissage, Machine Learning, matplotlib, numpy, pandas, plotly, pytest, programmation Python, Python, PyTorch, Scikit-learn, Tests Unitaires, application web
Experience
Professional experience5 - 10 years
Freelancer since2023
Languages
ArabicNative speakerEnglishFluentFrenchNative speakerSpanishGood
Project history
During this period I have been working with a young and bold company in the hydrogen sector. The project I aims at implementing a web app that lists hydrogen projects around the world with industry specific details in order to allow a better study of the field for both manufacturers and analysts.
During these six months I have worked as a content creator and course instructor for EIT Manufacturing and I created a course about Safety and Reliability of AI systems with a focus on Industrial sectors.
- Link: https://www.eitmanufacturing.eu/news-events/activities/aisme-project/
- Creation of AI training content for manufacturers
- Content development for AI Cybersecurity
- Link: https://www.eitmanufacturing.eu/news-events/activities/aisme-project/
- Creation of AI training content for manufacturers
- Content development for AI Cybersecurity
During this time I have worked on a start-up project where the objective was to implement Ai and machine learning solutions to optimize hydrogen refueling stations.
Github link: https://github.com/YPadawan/RL4HRS
Tasks:
- Modeling a problem of minimizing electricity costs
- Creation of a database (weather, prices, hydrogen consumption)
- Implementation of electricity consumption and production estimates
- Development and implementation of a Deep Reinforcement Learning approach for
reducing electricity costs from a mixed supply (grid/renewable)
Github link: https://github.com/YPadawan/RL4HRS
Tasks:
- Modeling a problem of minimizing electricity costs
- Creation of a database (weather, prices, hydrogen consumption)
- Implementation of electricity consumption and production estimates
- Development and implementation of a Deep Reinforcement Learning approach for
reducing electricity costs from a mixed supply (grid/renewable)