About Justine
Data Scientist ayant travaillé dans plusieurs startups, j'ai l'habitude de la responsibilité de plusieurs roles pour que mes modeles soient creés et utilisés: recherche et design d'algorithmes, data collection, data engineer, data visualisation, mise en production les modèles, etc.
J'ai travaillé sur des modèles de vision artificielle, et des modeles séquentiels / temporels. Je peux faire de la NLP (Natural Language Processing).
⚒️ Stack technique:
- Data Science / Machine Learning: Python, Tensorflow, Keras, Pandas, scikit-learn, BeautifulSoup
- Web: Python (Flask), REST APIs, Javascript, D3.js
- Bases de données: MySQL, PostgreSQL, MongoDB, Neo4j
- Système / DevOps: Linux, Docker, AWS (Amazon Web Services)
- Best Practices: version control (git, datasets, models), code reviews, design patterns, documention, testing, logging, monitoring
Mon site web avec + d'informations sur moi: justinecourty.com
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 10km)
Experience
- Current HealthData ScientistMEDICALSeptember 2018 - September 2019 (1 year and 1 month)Édimbourg, United Kingdom- Designed models for anomaly detection on physiological signals to decide on appropriate alerting thresholds- Built internal tools, APIs, and pipelines, and set up documentation to improve team collaboration- Built and deployed new step count model from patient timeseries data
- IproovResearch ScientistBANKING AND INSURANCEMarch 2017 - August 2018 (1 year and 6 months)Cité de Londres, United Kingdom- Designed computer vision models for facial recognition and anti-spoofing- Delivered production-ready machine learning models for mobile and cloud use on tight time schedule- Built infrastructure to help the team quickly prototype, test, troubleshoot and deploy models- Built a custom labelling app for rapid manual labeling of multiple samples at once- Managed and mentored a data science intern for 6 months
- Snowplow AnalyticsData Science InternSOFTWARE PUBLISHINGMay 2015 - July 2015 (3 months)Cité de Londres, United KingdomBuilt an end-to-end interactive visualisation of log data that helped client understand customer journeys and customer retention
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Education
- MSc Computer Science avec specialisation Machine LearningImperial College London2016