À propos de Alexandra
Français
Capacité professionnelle complète
Anglais
Capacité professionnelle complète
Russe
Bilingue ou natif
Espagnol
Capacité professionnelle limitée
Expériences
- LittleBigCodeData Scientistjanvier 2020 - Aujourd'hui (6 ans et 5 mois)
- ACCORProduct Manager & Data ScientistHÔTELLERIEaoût 2021 - Aujourd'hui (4 ans et 10 mois)Paris, FranceWorked closely with product, design, and marketing stakeholders to align model output with business goals across multiple projects.______________________________________________________________________POC: Hotel Review Tagging & Sentiment Analysis – Internal NLP SystemRequested by Accor’s marketing and product teams to track guest satisfaction at scale• Ledthereplacementofabiasedthird-partytaggingsolution,aligning stakeholders on an in-house strategy to improve transparency and reduce licensing costs.• Deliveredatransformer-basedNLPpipelineacross110hotelfeatures, increasing tag coverage by 9× and enabling configurable sentiment scoring.• ShippedaStreamlitdashboardformarketingtoexploretaginsightsand hotel benchmarks; proposed trend alerts to surface shifts in guest sentiment.____________________________________________________________________Personalised Travel Recommendation Engine – Internal Recommender SystemDeveloped to tailor destination suggestions across Accor’s direct-booking platform and marketing emails• Built and deployed a recommendation system based on guest preferences and booking history, designed to handle sparse user data.• Integratedwithcloudinfrastructureforscalableretrainingandreal-time targeting across email and platform channels.• ConductedA/Btestingon5,000+users,resultingina5%liftin click-through rate on targeted suggestions.____________________________________________________________________Automated Visual Quality Control for Hotel Imagery – Internal CV SystemDeveloped for Accor’s global marketing and brand teams• Automatedreviewof5K+hotelimages,reducingvalidationtimeby70%.• Improvedtherateofhigh-qualityimagesfrom91%to98%throughautomated enhancement techniques.• DeliveredaPowerBIdashboardforregionalcompliancemonitoring.
- SNCF RéseauData Scientist & Engineerjuillet 2020 - juillet 2021 (1 an)Paris, FranceDigitisation of Safety Documents – Internal Processing ToolDeveloped for on-site technicians and safety teams to improve data access and entry• Developed an OCR pipeline to extract structured tabular data from scanned PDFs, processing 1,000+ documents and extracting 1M+ technical elements with over 90% accuracy.• Replacedmanualdataentry,targetingan80%reductioninprocessingtime; delivered measurable time savings for operations teams under real usage constraints.• BuiltanddeployedDjango-basedmicroservicesfordocumentupload, extraction, and web monitoring, supporting live batch processing in production.Mastered: Tesseract, OpenCV, Git, Django, Air Flow, Pytest, Power BI, Grafana, NCF
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Formations
- M.Sc. of NeuroscienceEcole Normale Supérieure2019M.Sc. of Neuroscience
- B.Sc, Physics and Applied MathematicsMoscow Institute of Physics and Technology (State University) (MIPT)2015B.Sc, Physics and Applied Mathematics