Tom Keldenich

Experience

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  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

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  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)

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  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

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  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)