About Remy
- Generative AI
English
Native or bilingual
French
Native or bilingual
Experience
- Capital Fund ManagementCore Technology ArchitectTECHSeptember 2023 - Today (2 years and 9 months)Member of the multidisciplinary ITCore team:•Close collaboration with quantitative researchers to design and maintain Conda environments, ensuring data integrity and facilitating advanced data analysis.•Initiated the migration from Perforce to Git, improving version control and data management practices in data science-oriented projects.•Management of CI/CD pipelines for CFM's trading strategy platform, simplifying the deployment of data-driven trading models.•Application of coding best practices, supervision of Python package updates, and optimization of development processes to support data science initiatives.•Production of comprehensive documentation and tutorials on data science tools, including Git, Jupyter, Linux, AWS, Docker and FastApi.•Organization of Docker image preparation on AWS, enabling the efficient deployment of machine learning models and data-driven solutions in CFM's data science projects.
- Algorithm DimensionLead Machine Learning EngineerTECHJanuary 2022 - September 2023 (1 year and 8 months)Tel Aviv-Jaffa, IsraelStack & Skills: Python, Flask, Plotly, AWS, Docker, multi-processing, multi-threading, asyncio, APIs, MySQL, Django, time series•Lead of a team of 4 data scientists and developers•R&D - Machine learning - DevOps•Development of a project from scratch for the prediction of cryptocurrency prices•Creation and filling of databases•Conducting ETL processes•Development of various Python scripts for data extraction from different platforms, time series modeling, KPI analysis and automated trading functionalities (Binance and Bybit)
- Reigo InvestmentsData scientist leadREAL ESTATEAugust 2019 - January 2022 (2 years and 5 months)Tel Aviv-Jaffa, Israel- Implementation of a classification model to assign bank loans- Deployment on GCP- Setting up an API with flask- Development of two models: Logistic regression and XGboost- Implementation of all the techniques allowing the optimization of a model: fill missing values, bayesian optimization, sensitivity analysis, PCA ...- Improvement of the models: Implementation from V1 to V5
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Education
- EngineerESTP Paris / Mines Paris2018Math Sup Math Spe ESTP - Genie Civil Mines Paris - Recherche operationelle et optimisation ITC - formation intensive en data science Math, Stats, Python, Data mining, machine learning, optimisation ...
- M2 MVAENS Paris Saclay2022Mathematics Machine learning Deep learning Object detection Times Series NLP Convex Optimization