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Sarah Le NetSL

Sarah Le Net

Data Scientist

EUR 700/Tag
Paris, FR
3-7 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Sarah

Passionnée par des solutions innovantes, je recherche activement des projets tangibles à fort impact sur lesquels apporter mon expertise. Avec l'expérience du professorat, j'ai acquis de nombreuses compétences techniques et une connaissance des possibilités du marché en termes d'outils techniques et de solutions intégrables à vos projets. Forte de mon expérience en tant que data scientist dans une start-up, j'ai le profil multi-tâche et proactif qui convient à l'indépendant freelance créatif et consciencieux
  • Französisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Muttersprachlich oder zweisprachig

  • Portugiesisch

    Muttersprachlich oder zweisprachig

  • Spanisch

    Konversationssicher

Nur remote
Führt Projekte hauptsächlich remote aus

Projekt- und Berufserfahrung

  • TheLab
    Entrepreneur
    HIGHTECH
    Januar 2025 - Heute (1 Jahr und 5 Monate)
    Paris, Frankreich
    AI for resilience projects: development of a platform to prioritize and plan for projects and reconstruction after natural catastrophes, and IoT data acquisition, project-based

    Cloud deployment of LLM/RAG/Agents solution:
    . Claude
    . Qdrant
    . Langchain
    . GCP

    • Interviewed on a blog around 25 people in emergency crises, NGOs, and
    administrations
    • Participated in 100+ networking and tech watch meetups and conferences
    • Started courses on remote sensing, emergency crises and risk management at
    Panthéon-Sorbonne, and metrology and citizen science at Conservatoire National
    des Arts et Métiers
    • Won a prize at Women In Data Science for an AI irrigation project, 2nd prize at
    HackTheGap for ResilienceAI, participated in 15 hackathons, found an incubator, and
    potential partners
    Langchain Google cloud Python Claude LLM
  • DataScientest.com
    Data Scientist
    BILDUNG & E-LEARNING
    Januar 2023 - März 2025 (2 Jahre und 2 Monate)
    Paris, France
    Github: https://dagshub.com/sarahlunette/Data_Atelier

    Teacher with masterclasses and Q&A sessions for master levels in partnership with La Sorbonne:
    • Data Sciences (Interpretability, Text Mining, Deep Learning, Voice Recognition, Multibox Detection, Computer Vision, production tools)
    • Data Engineering (Intro and Streaming of Data)
    • MLOPS (Life cycle management of a machine learning model)
    • Data Analysis
    in bootcamp or continuing training in B2B or B2C.

    Other responsibilities and achievements:
    • Creation, translation and improvement of educational content (Couchbase, TechAway with OMNES (Data Quality, Machine Learning lvl 3)
    • Cohort leader (4 to 5 cohorts permanently in 3 months or 1 year span)
    • Management of learners at the technical and informational level
    • Project group mentoring (15 projects permanently) (more than 80 projects overall)
    - Research and exploration of new technologies for content creation
    • Participation in the educational reorganization of courses (creation of experimental and personal research course formats)
    • Internal analytics (on pedagogical data)
    • Creation of 2-hour workshops to feed the Youtube channel feed (PCA, multibox detection, multiprocessing, deployment of a ML model from scratch)
    • Writing articles on technologies associated with data (Altair, PyTorch Lightning, Theano)
    • Exam corrections
    • Google Cloud Skills Boost Certification - DE and Cloud Architect
    • Participation in internal training on various technologies (Make, Docker, Spark, etc.)
    • Integrating in a team workflow (team of 20 people in the teaching pole)


    Technologies: Google Suite
    Platforms: GCP certified, AWS knowledge
    ML tools: MLflow, ZenML
    Version Control: Github, DVC
    Déploiement: Docker, FastAPI, Airflow, Jenkins/Github Actions, Dagshub, pytest
    Databases: Neo4j, PostgreSQL, MongoDB, Couchbase
    Monitoring: Prometheus, Grafana, Kibana, Evidently
    ML: PyTorch, Tensorflow
    Python Dagshub Airflow Google cloud Aws
  • DataKind/DataForGood
    Data Analytics / Data Science Remote Works
    November 2020 - Heute (5 Jahre und 7 Monate)
    Paris, France
    DataKind
    • Acquaintance with Datakind and other pro-bono projects
    • Kaggle competitions
    • Meetings with other volunteers
    • Giving advice and corrections to Data Engineering workbook
    • Networked to know the actors of the social field
    • Inquired about GenAI and prediction tools in Humanitarian crises be it on the climatic or logistic side

    DataForGood
    Participation in :
    • Bloom project for boat traffic and fishing in protected areas (addition to database and research on characterizing fishing patterns in boats and discussions on fishing patterns recognition)
    • Pyronear: benchmarked raspberry pie solutions and adaptation, designed a blurring algorithm for people on the forest pictures
    • Potentiel Solaire: explored the SAM tool

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Ausbildung und Abschlüsse

  • Master of Engineering
    Columbia University in the City of New York
    2014
    Master's Degree, Civil Engineering
  • Master's degree, Vision Apprentissage/ Vision and Learning
    CPGE - ENS Cachan D1
    2016
    Master's degree, Vision Apprentissage/ Vision and Learning

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