Freelancer profile translated to English.
Back to original languageAbout Amélie
Data Engineer/Scientist and Data Analyst, graduates of École Polytechnique and HEC Paris respectively, we support you in leveraging your data. Here are the three strengths of our dual profile.
1) With a comprehensive understanding of data-related issues, we assist you throughout all stages of your data project production:
- Definition of data exploitation needs (business understanding, diagnosis of data valorization potential)
- Construction and deployment of data pipelines and adaptation/optimization of existing pipelines
- Deployment of machine learning models
2) With over 5 years of experience as a data scientist/data engineer in Silicon Valley for Adrien (energy, environment, health), and intensive training in data science/data analytics for Amélie, we bring:
- Skills in software engineering/back-end development (Python, Java, C++, Matlab, Scala) & cloud computing (AWS, Google Cloud, Azure)
- Cutting-edge knowledge in data mining and machine learning, particularly in deep learning - computer vision and natural language processing (NLP) - libraries scikit-learn, tensorflow, pytorch, nltk, pandas, etc.
- And a strategic perspective on digital transformation and innovation in artificial intelligence
3) The strength of our dual expertise finally lies in our ability to bridge the gap between business and technology, and to propose concrete and actionable data insights. Eager to make our results usable by your teams, we have developed strong skills in data visualization and storytelling to complete the last mile with you, using BI and data visualization tools like Tableau Software or Power BI.
For more information on our backgrounds, please visit our LinkedIn profiles:
Adrien Boch and Amélie Vogel
French
Native or bilingual
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- Evidation HealthData engineer/scientistMEDICALMarch 2020 - Today (6 years and 3 months)San Francisco, United StatesDevelopment of data collection pipelines for connected objects (smartphones, smartwatches, etc.) in the context of virtual and large-scale clinical trials.Data analysis, participant clustering to distinguish patterns in patient trajectories towards different outcomes.
- Also EnergySenior data scientistENVIRONMENTALOctober 2015 - November 2019 (4 years and 1 month)San Francisco, United StatesLead analytics programmer/data scientist on Virtual Irradiance, a SaaS solution for real-time irradiance estimation powering fleets of solar panels (for both individuals and electricity grid providers).Irradiance estimation is done via a computer vision model (deep learning) on satellite images, calibrated with ground weather station data.
- Stanford UniversityResearch AssistantENERGY AND UTILITIESSeptember 2013 - July 2015 (1 year and 10 months)Stanford, United StatesWithin the Reservoir Simulation Research program (SUPRI-B) of Stanford University's Energy Resources Engineering department, research and thesis on upscaling strategies in oil flow simulations within geological structures.
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Education
- Engineering degree from École polytechniqueÉcole polytechnique2013Cursus Grande Ecole de l'Ecole polytechnique Spécialisation en mathématiques appliquées
- Master of Science in Energy Resource Engineering, Stanford UniversityStanford University2015- Simulation - Optimisation des systèmes énergétiques - Algorithmes et structures de données (CS106B) - Machine learning et data science (CS229, Andrew Ng) - Assistant de recherche au sein du Reservoir Simulation Research program (SUPRI-B)
Certifications
- Data Analytics/Data Science intensive bootcampIronHack2020
- Stanford University Code In PlaceStanford University