Freelancer profile translated to English.
Back to original languageAbout Grégory
AI Blockchain Data & Machine Learning Scientist | Web3 | Defi | Bitcoin | Ethereum
I am looking for a Data Scientist / Machine Learning Scientist position, with a preference in the Web3 domain, or scientific, AI, Tech for Good, without being limited to it.
After my last experience in an AI startup in Seoul where I developed and implemented a deep learning model, I am working on Web3 projects (DeFi in particular) allowing me to learn the basics of Solidity.
Before going further, I would like to outline my constraints and the ideal working conditions I would like to find:
I am looking for a freelance position in Full remote as I will be based mostly in Asia (South Korea then Japan in 2023) with possible returns, depending on the project, every 3 months approximately on-site in Europe.
I also have freelance status in France (micro-enterprise).
What I can bring you: My experience in data and modeling to achieve:
- Experience with blockchain and its challenges
- Modeling using many types of machine learning models (scikit-learn), and Deep Learning (Tensorflow, PyTorch, Keras),
- Processing / exploiting / leveraging textual or visual data (exploratory phase, development, testing, and production deployment)
- Development of visualization tools (matplotlib / plotly / DASH/ Flask)
- Setting up pipelines (Airflow)
- Setting up Serverless App
- Production deployment on AWS / Azure / Google Cloud (Docker / ECR / ECS / EC2 / Lambda AWS)
Finally, I have a preference for being able to integrate into an existing DATA team where I can be useful by participating actively and also learning from them.
French
Native or bilingual
English
Fluent
Japanese
Basic
Korean
Basic
Spanish
Basic
Remote only
Primarily works remotely
Experience
- Renault FranceData ScientistMarch 2025 - Today (1 year and 5 months)Developing and implementing MongoDB for managing traceability and metadata chains for Renault's electric machine design. Setting up development environments and documentation for MongoDB. Defining and validating workflows for the Electric Motor Team. Coaching teams to apply traceability on real projects. Providing daily bug fixes and improvements based on team feedback.
- ORLAR Vietnam (Remote)Data ScientistJanuary 2025 - Today (1 year and 7 months)Optimizing greenhouse operations using advanced simulation and modeling techniques with COMSOL. Developing and implementing simulation and modeling. Establishing data connectivity. Implementing scenario analysis and reports. Supporting analysis and collaborating with Sydney University.
- Ocean protocolData ChallengesTECHDecember 2022 - Today (3 years and 7 months)AchievementsLearning blockchain development such as SolidityWeb3 project study on on-chain data in decentralized finance (DeFi)Data Challenges to predict ETH token price organized by OCEAN ProtocolSeveral participations:round 5: 1st placeround 6: 2nd placeround 7: 4th place over more than 80 participantsDevelopment of data pipelines to feed modelModel type used: RNN deep learning model with auto-encoderSkillsOn-chain data study, Solidity, Python web3 library, ML, Tensorflow, GithubMy strategy : https://github.com/jeugregg/ocean_protocol_eth_predRound 5 : https://github.com/oceanprotocol/predict-eth/blob/main/challenges/main5.md(1st place : https://blog.oceanprotocol.com/here-are-the-winners-of-the-predict-eth-round-5-data-challenge-95f71bcade95)Round 6 : https://github.com/oceanprotocol/predict-eth/blob/main/challenges/main6.mdhttps://medium.com/oceanprotocol/here-are-the-winners-of-the-predict-eth-round-6-data-challenge-9b8e8f786170 (2nd place / 15)Round 7 :https://blog.oceanprotocol.com/here-are-the-winners-of-the-predict-eth-round-7-data-challenge-d5ec1c2056e0 (4th place / 80)
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Education
- Machine Learning EngineerOpenclassrooms2020(Formation en Partenariat avec CentraleSupélec) L’Ingénieur Machine Learning est un Data Scientist spécialisé dans les algorithmes d’apprentissage automatiques, permettant de traiter des données volumineuses et de différentes natures. Je suis capable, au sein d’une équipe data, de répondre à des problématiques de modélisation mathématiques à l’aide d’algorithmes adaptés. Pour cela, je choisis le modèle le plus performant, parmi une palette d’algorithmes : supervisés, non supervisés ou encore réseaux de neurones profonds (Deep Learning). Ce que j’ai appris à faire : - Programmer des algorithmes de Machine Learning. - Entraîner des réseaux de neurones profonds. - Modéliser des données complexes, comme des images et des textes. - Mener un projet de recherche et réaliser une preuve de concept (POC).
- Mobile Application Development IonicSelf-taught2016Cordova IONIC AngularJS development of a smartphone application : Strategy, Concept, User Experience, Design, Performance, Development, Tests, Deployment