French Data Scientist & Machine Learning Engineer looking for, in France (Ile-de-France) or in South-Korea (Seoul) or anywhere in full-remote, a freelance job OR a permanent contract in Seoul, former Numerical Modelization Specialist, 16 years of XP, Matlab expert in data tools development from vehicle models & tests. In case of full-remote job for a company in France, I can visit your office (every 3 months). My skills to solve your business or scientific problems :
* Treat / Exploit your textual, visual or structured data with machine learning models, deep learning neural networks in different stages : exploration, development, test and deployment * Development of visual tools * Data Collection : Data Mining, SQL, MongoDB, API, Srapy * Data Analysis : Cleaning / Exploration (statistics tools, matplotlib / seaborn / Tableau ) * Feature Engineering & Machine Learning (scikit-learn, Deep Learning : TensorFlow, PyTorch) to Treat & Exploit your textual, visual or structured data in different stages : exploration, development, test and deployment * Data Visualization Tool Development (Flask, Dash, Plotly, Docker, Serverless) * Setup pipeline ETL with Airflow using for example Hadoop, PySpark. * Setup DevOps CI/CD methods with Gitlab. * Deployment on Cloud AWS / Azure / GCP with Docker. * Agile method : Git / GitHub / Gitlab / Jira * Favorite Languages : Python et Matlab. * How to Communicate in full-remote? : synchronous (once a week with Zoom / Google Meet / Skype), asynchronous (daily with Slack / Microsoft Teams / Trello...) * How to secure your data in full-remote? Possible security breaches to be tackled : human (sign a contract like Non-Disclosure Agreement), network (use protocole VPN, SSH, HTTPS), hardware or OS (no client data on freelance computer : remote access SSH to your application like Jupyter Notebook & VSCode, office & calculation on Cloud like Microsoft 365 & AWS / Azure / GCP)
Finally, I prefer, but not mandatory, to work with an existing DATA team and where I could be useful to meet its challenges and also learn at its side in different fields.
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