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Alexandra D.AD

Alexandra D.

Senior Data Scientists & AI Product Manager

€750/day
Paris, FR
3-7 years

Average response time: 24 hours

About Alexandra

AI Product Manager with a Senior DS/ML background (5+ years). I lead end-to-end delivery of applied AI features (NLP, CV, GenAI): problem framing, metrics, data requirements, and deployment with DS/engineering teams. Trained in neuroscience with familiarity with healthcare contexts, and hands-on experience with LLMs, prompt design, and privacy-aware AI.
  • French

    Fluent

  • English

    Fluent

  • Russian

    Native or bilingual

  • Spanish

    Conversational

Can work on-site
Paris (up to 20km)

Experience

  • LittleBigCode
    Data Scientist
    January 2020 - Today (6 years and 5 months)
  • ACCOR
    Product Manager & Data Scientist
    HOSPITALITY
    August 2021 - Today (4 years and 10 months)
    Paris, France
    Worked 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 System

    Requested 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 System

    Developed 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 System

    Developed for Accor’s global marketing and brand teams
    • Automatedreviewof5K+hotelimages,reducingvalidationtimeby70%.
    • Improvedtherateofhigh-qualityimagesfrom91%to98%through
    automated enhancement techniques.
    • DeliveredaPowerBIdashboardforregionalcompliancemonitoring.
    MLOps NLP Computer Vision Système de recommandation Generative AI
  • SNCF Réseau
    Data Scientist & Engineer
    July 2020 - July 2021 (1 year)
    Paris, France
    Digitisation of Safety Documents – Internal Processing Tool

    Developed 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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Education

  • M.Sc. of Neuroscience
    Ecole Normale Supérieure
    2019
    M.Sc. of Neuroscience
  • B.Sc, Physics and Applied Mathematics
    Moscow Institute of Physics and Technology (State University) (MIPT)
    2015
    B.Sc, Physics and Applied Mathematics

Skill set (28)

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