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Zoumana KeitaZK

Zoumana Keita

Data Scientist - Machine Learning Engineer

€600/day
Texas City, US
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Zoumana

----- English Version -----

Zoumana is a Data Scientist with 3-years of experience, and a special interest in Natural Language Processing and Interpretable AI.

Passionate Taekwondoist, he cumulates expertise from both big corporations and startups. Willing to jump in groundbreaking challenges from understanding business problems to development and industrialization of Machine Learning models.

----- French Version -----

Zoumana est Data Scientist avec 3 ans d'expérience, avec un particulier intérêt pour le traitement automatique du language naturel (TALN), l'Intelligence Artificielle interprétable.

Passionné du Taekwondo, il cumule des expertises issues des grands groupes, mais aussi de startups. Il est prêt à reléver les défis révolutionnaires, de la compréhension des enjeux business au développement et à l'industrialisation des modèles de machine learning.
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Texas City (up to 50km)

Experience

  • Axionable
    Data Scientist
    DIGITAL AND IT
    February 2020 - Today (6 years and 5 months)
    Paris, France
    ★ Debt Collection Agency (Montreal) | Debt Collection Claims
    - Collaboration with the debt collection department to develop a tool to maximize ROI on debt collection (Jira)
    - Responsible for the modeling and implementation of debtor segmentation and communication channel recommendation tools (Python, Streamlit, Sklearn)
    - Deployment of the solution and writing of functional and technical documentation (Django REST API, Docker, Gitlab, MLFlow, Confluence)

    ★ Cosmetics Leader (Singapore & Switzerland) | Ingredient Reformulation
    - Collaboration with Business and technical teams from Switzerland and Singapore for the implementation of an ingredient reformulation solution (Jira)
    - Responsible for the modeling and implementation of the solution and the supervision of Junior Data Scientists (Python, Streamlit, Gitlab, Sklearn)
    - Deployment of the solution and writing of functional and technical documentation (Docker, Kedro, Confluence)

    ★ Axionable R&D Lab | ESG Scoring for Responsible Investment
    - Collaboration with the internal business team to establish a scoring system for the "Sustainable" positioning of companies (Jira)
    - Responsible for the modeling and implementation of the tool using patents and company Twitter data (Python, Tweepy, FinBERT, Gensim)
    - Implementation of functional and technical documentation (Confluence)

    ★ Luxury Group | Sustainable Development Patent Analysis
    - Collaboration with the patent department to develop a product that identifies patents with a sustainable purpose (Jira)
    - Responsible for the modeling and fine-tuning of the appropriate model for the first solution and writing documentation (BioERT, Pytorch, Confluence)

    ★ Social Protection Group | Optical Character Recognition
    - Collaboration with the management team to build an AI for automatic extraction of content from client tax forms (Jira)
    - Responsible for the modeling and development of tools using image processing techniques, then implementation of technical and functional documentation (PDFMiner, PyTesseract, Python, Regex, Gitlab, Confluence)
    NLP Python Pytorch Gensim Mlfow Docker Django Rest Framework Gitlab
  • IBM
    Data Scientist
    BANKING AND INSURANCE
    September 2017 - February 2020 (2 years and 5 months)
    Paris, France
    ★ Insurance Group | AI for Mediation
    - Collaboration with mediation and insurance teams to develop a tool for efficient processing of mediation requests
    - Responsible for the modeling and development of the tool based on natural language processing algorithms (Sklearn, Gensim, Python)
    - Deployment of the solution and writing of functional and technical documentation (Flask, Docker, IBM cloud)

    ★ French Multinational | Waste Treatment with AI
    - Collaboration with the waste incineration department to develop a tool facilitating real-time waste treatment
    - Responsible for the development of a model using transfer learning and production deployment (Resnet50, Keras, Flask, Docker, IBM cloud)
    - Implementation of technical and functional documentation (Confluence)
    sklearn Gensim Python flask Docker IBM cloud Confluence

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Education

  • AI/Data Science Engineer
    ESIEA
    2019
    Formation complétée avec un séjour à l'université de Glyndwr

Skill set

Categories