Freelancer profile translated to English.
Back to original languageAbout Salma
I am an engineer in applied mathematics (double degree from ENSTA Paristech/ENIT) with a Master's degree in data analysis, modeling, and numerical simulation from the University of Paris Saclay. I also hold a Ph.D. in data analysis (data scientist) which lasted 4 years at Paris Cité University, in collaboration with the Institut de Physique de Globe de Paris (IPGP) and the French National Centre for Space Studies (Cnes). I specialized in data analysis using Machine Learning and Deep Learning techniques. This was aimed at interpreting and exploring seismic data from NASA's InSight mission's SEIS instrument. I have publications in scientific journals such as BSSA and Nature. I then pursued a Postdoc as a data scientist to integrate my tools for the InSight team.
I worked as a freelance data scientist at Engie, then as a postdoc data scientist at JPL NASA, and I led data science and R&D efforts.
Arabic
Native or bilingual
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- EXPLEOProject ManagerTECHNovember 2023 - February 2024 (3 months)Paris, FranceProject manager for smart cities, managing a team to develop a digital twin for smart cities.
- QualeesLead Data Science and R&DMEDICALFebruary 2024 - Today (2 years and 3 months)I am the Lead Data Scientist and R&D for the digital twin generator project for healthcare, 'tweenme'.I develop ML and DL algorithms, and generative AI LLMs for the pipeline. I manage a team, communicate with clients on PoC, define features, roadmap, and quality. I prepare the architecture of algorithms for integration into Azure APIs, CI/CD, ML/AI engineering, testing, Git, and Azure DevOps.
- NASA JPLPostdoc Data ScientistAVIATION AND AEROSPACENovember 2022 - October 2023 (1 year)Pasadena, United StatesI developed a hybrid architecture to emulate the projection of sea-level rise using altimetry data and satellite data.
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Education
- Ph.D.Université Paris Cité2021Analyse des données de la mission InSight de la NASA avec algorithmes de Deep Learning supervisé ert non supervisé
- EngineerENSTA Paristec2017Ingénieur généraliste avec une spécialisation en mathématiques appliquées (Optimisation, statistique, simulation numérique, modélisation, analyse de données…)