About Jean
Ancien Etudiant a Polytechnique et au MIT, j'ai plusieurs experiences aucours desquelles j'ai utilisé des algorithmes de Data Science afin d'avoir un impact immediat sur le business d'une entreprise. Je suis convaincu que les algorithmes peuvent se mettre au service de dirigeants afin d'orienter la prise de decision. Je souhaiterais mettre mes compétences techniques (Python,R, SQL) au service de votre entreprise afin d'apporter une approche rigoureuse et organisee a divers problemes.
Au dela de celle-ci je saurais utiliser mes diverses experiences aux USA afin de presenter clairement les résultats et enjeux, afin que de comprendre comment faire évoluer les réflexions.
French
Native or bilingual
English
Fluent
German
Fluent
Remote only
Primarily works remotely
Experience
- Google - Verily Life ScienceProduct Analyst Data SciencePHARMACEUTICALS INDUSTRYSeptember 2021 - Today (4 years and 9 months)Cambridge, United StatesUsing Data Science and analytics to help pharmaceutical labs optimizing their clinical trials.
- CriteoData AnalystSOFTWARE PUBLISHINGMarch 2020 - August 2020 (5 months)New York, United States
- Décathlon - SEData Scientist - Project ManagerSPORTSJune 2019 - December 2020 (1 year and 6 months)San Francisco, United StatesData Scientist•- Optimized Decathlon’s search engine and predicted Decathlon’s optimum prices.- Scraped 10K products on retailer’s website and used boosting methods and NLP to shape and refine pricing strategy- Used interpretable models to emphasize 5 drivers of Click through Rate’s improvementData Scientist- Defined and implemented a subscription business model across 5 international subsidiaries- Designed a personalized offer to 200,000 clients by using clustering algorithms for customers’ segmentation
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Education
- Master's DegreeEcole Polytechnique2021Master's degree in applied Mathematics, Data Science and Management
- Master's degree in Business analyticsMIT2021- Relevant coursework: Machine Learning for Healthcare, Analytics Edge, Optimization, Advanced NLP (Spring 2021) - Analytics Project: Devised advanced betting strategies on tennis gambling with ensemble methods; reached expectedprofit of 45% per game for 2019; ongoing testing on real games - Causal Inference Project: Measured the impact of health providers’ demographic data on antibiotics prescription