Freelancer profile translated to English.
Back to original languageAbout Sophie
I am an independent machine learning engineer based in Paris.
My goal: to help you achieve your business objectives through machine learning, from solution definition to implementation and deployment.
I handle end-to-end data projects:
- Data needs definition during co-creation and brainstorming workshops
- Algorithm prototyping with business teams
- Deployment on your infrastructure and implementation of monitoring tools
My technical expertise:
- Machine learning: Natural Language Processing (NLP), signal processing, spatio-temporal data processing
- Software development: Git, Docker, AWS / GCP, Airflow, Python, Elasticsearch
- Data and product analytics
- Junior level web development: Ruby on Rails, Flask, HTML and CSS, PostgreSQL, Heroku
My functional expertise: retail, public transport and logistics, physics, cybersecurity, e-commerce, insurtech
French
Native or bilingual
English
Fluent
German
Fluent
Spanish
Conversational
Polish
Conversational
Can work on-site
Paris (up to 10km)
Experience
- Pernod RicardSenior Machine Learning EngineerWINE AND SPIRITSMay 2022 - September 2024 (2 years and 4 months)Paris, FranceMachine Learning Engineer at Pernod-Ricard, a global leader in spirits.Business context: Automated recommendations for sales teams to guide their tours.MLOps: Industrialization of models (CI/CD, API, monitoring, database management...). Management of a team of 6 Machine Learning Engineers.Technical stack: Microsoft Azure, AzureML / ML Flow, FastAPI, scikit-learn, Pymoo, Snowflake, dbt, Retool...
- LyanneInterim CTOLEGALDecember 2021 - May 2022 (5 months)Paris, FranceInterim CTO in an insurtech company: managed the web team.Implemented a web UI to help our internal lawyer filter disputes between policyholders and insurers. Reduced their analysis time by pre-collecting data and automatically qualifying cases via a web interface. Analyzed user behavior on the web interface.Technical stack: Heroku, Ruby on Rails, html, CSS, PostgreSQL, Redis, Algolia, Google Analytics
- AnkorstoreData ScientistE-COMMERCEJuly 2021 - December 2021 (5 months)Paris, FranceData scientist reporting to the product team for an e-commerce platform. Scoring algorithm to promote the best items in a catalog of one million products. Improved search bar performance. Increased sales by 12%.Technical stack: BigQuery, Algolia, Python, Airflow
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Education
- PhD, PhysicsÉcole Polytechnique2016Doctorat, Physique. Intitulé de thèse : "Cobaltates in the high-doping regime: Insights from first-principles calculations and extended dynamical mean-field theory." Simulations de Monte-Carlo et développement de code pour le calcul de propriétés électroniques de matériaux
- Master of ScienceETH Zürich2013MSc of Physics, Physique
Certifications
- Neural Networks and Deep LearningDeepLearning.AI2024
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and OptimizationDeepLearning.AI2024