Tom Keldenich

Tom Keldenich

Machine Learning Intern

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location of Tom KeldenichGreater Paris Metropolitan Region

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  • Timeline

  • About me

    Data Scientist|AI Engineer

  • Education

    • Новосибирский Государственный Университет (НГУ)

      2019 - 2020
      Economics
    • International School of Information Processing Sciences

      2016 - 2021
      Engineering degree Mathematics and Computer Science
  • Experience

    • 东北大学

      Jun 2019 - Aug 2019
      Machine Learning Intern

      Context: Support the PhD team in implementing a 3D geological data analysis pipeline to train a deep neural network.Missions :- Data analysis (Point Cloud)- Data processing

    • Banque de France

      Sept 2020 - Sept 2021
      Data Scientist

      Context: Development of a text classification model to facilitate the processing of emailssupport team emails.Missions :- Data quality analysis and processing (Python)- Feeding and improvement of AI models- Model testing and log evaluation (Streamlit)- Production deployment & monitoring (Azure)

    • Inside Machine Learning

      Dec 2020 - now
      Data Scientist|AI Engineer

      Context: Consulting and interventions on AI issues for SME customers (forecasting,FinTech, SaaS)Missions :- Data quality analysis and processing (Python + PowerBI)- Improvement of Machine Learning models- Log production and evaluation (Streamlit + GCP)Context: Development of the Inside Machine Learning (EaaS) platform for the acculturationand training in Artificial Intelligence (ML, DL, GenAI)*Cited as a source by CNRSMissions :- Data training (Quality & Visualization)- AI training (Feeding and Enhancement)- Monitoring, POC and pre-sales on SotA models (CV, NLP) Show less

    • Valeo

      Sept 2021 - Jun 2022
      Data Scientist

      Context: Detection and anonymization of PII data for EU compliance.GDPRMissions:- Watch, POC and pre-sales on Computer Vision (SotA) models with the R&D team.- Development of KPIs for improving Machine Learning models (Precision, Recall, F1-Score,Avg. Inference Time)- Data quality analysis and processing (Python + PowerBI)- Production on GCP in collaboration with Terraform team (Docker, Kubernetes)

  • Licenses & Certifications

  • Volunteer Experience

    • Bénévole

      Issued by WWOOF NORWAY on Jul 2018
      WWOOF NORWAYAssociated with Tom Keldenich