Ă€ propos de Simon
Who I am :
🙋🏻‍♂️ I'm a french engineer with 3 years of experience in data science and machine learning. Those 3 years include :
- two years for my master's project in Machine Learning in industry (integration of a reinforcement learning model into an optimization algorithm), in Alayacare (health tech) in Montreal.
- one year of internships in industry (gap year) in Meteo-France (6 months) and CEA (6 months).
My work experience and education :
📡 I was able to work on ML projects combining architecture, data science and analysis, but also on more Data-oriented projects involving SQL database processing, extraction, data transformation and features engineering.
✍🏻 The GitHub link for my master's thesis: .
🧑🏻‍🎓 Double engineering degree from ENSTA Paris (top french engineer school) and Polytechnique Montréal.
My skills :
🤖 Expert in Python (and learning libraries such as Pytorch and TensorFlow), very good command of C++ and at ease with R. I'm also proficient in visualization tools (Power Bi, Tensorboard), containerization (Docker) and office automation (Linux).
⚡️ I've acquired autonomy and initiative in key decision-making through my master's degree in industry.
🔎 Curious, proactive and very good interpersonal skills.
How I learn new skills :
đź“– I follow courses in Dara Science / ML and learn about IT tools.
Where ? → MIT courses, Hugging Face, books, etc.
Currently it is about Computer Vision and professional use of Docker.
Langages :
French (native), English (bilingual) and Italian (basics).
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Italien
Notions
En télétravail uniquement
Travaille majoritairement Ă distance
Expériences
- Polytechnique Montreal and AlayacareResearch Scientist - Master research projectCENTRES DE RECHERCHEjanvier 2023 - septembre 2024 (1 an et 8 mois)Montreal, QC, Canada- Develop a reinforcement learning model integrated with an optimization algorithm to improve the resolution of a homecare problem- Survey the state of the art and develop a synthesis methodology (memory in the git repository)- Generate synthetic data via multivariate probabilistic modeling- Model the agent, define the environment, formulate the MDP. Policy-based algorithms (PPO, SAC)- Benchmarking and performance evaluation (quality and time-to-solution). Visualization via Tensorboard
- CEAMachine Learning Engineer - InternshipCENTRES DE RECHERCHEmars 2022 - septembre 2022 (6 mois)91400 Saclay, France- Hypertune an auto-encoder for regressing the internal parameters of gravitational waves (Pytorch andJAX)- Pre-tuning input signals and visualizing their distribution in latent space
- Météo FranceData Scientist - InternshipCENTRES DE RECHERCHEseptembre 2021 - mars 2022 (6 mois)Saint-Denis, La Réunion- Preparing training data for a cyclonic trajectory forecasting model- Managing, extracting and cleaning large samples of historical data (SQL)- Data transformation (mixed type): features engineering, PCA, encoding categorical variables
Recommandations
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Formations
- Master of MathematicsPolytechnique Montréal2024Master of Industrial Engineering Applied Mathematics
- Master of EngineeringENSTA2019Master of Engineering Applied Mathematics