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aahepburn/README.md

About Me

Alexander is a data scientist specialising in natural language processing, causality and business analytics. The focus of his work has been on robust ML systems, addressing issues like distribution shifts and concept drift. His international, interdisciplinary background allows for effective cross-domain collaboration, necessary in diverse data science teams.

Alexander is passionate about privacy and responsible AI development. He is a contributor to several open-source initiatives, some of which are listed on this page.

He is currently based out of Amsterdam and open for work.

Python R JavaScript Linux Docker Microsoft Azure Kubernetes

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  1. Zotero-RAG-Assistant Zotero-RAG-Assistant Public

    An open source desktop RAG application that lets you chat with your Zotero library using large language models. Ask questions about your research and get answers grounded in your own documents, wit…

    TypeScript 2

  2. MLOps-Quarto-Project MLOps-Quarto-Project Public

    This project is a data science and MLOps initiative that includes a Quarto dashboard for batch model scoring and a machine learning training pipeline. The project is structured to facilitate data p…

    Python

  3. Multi-Task-Propaganda-Detection Multi-Task-Propaganda-Detection Public

    This is the code repository for my thesis project titled "Towards Robust Propaganda Detection: Addressing Distribution Shifts via Multi-Task Learning".

    Jupyter Notebook

  4. link-prediction link-prediction Public

    A link prediction classifier where we test multiple types of features using synthetic data.

    Jupyter Notebook 2