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Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2

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LucaNyckees/README.md

Hey there, I'm Luca. :basecampy:

I am a data scientist and data engineer. My professional experience spans over 4+ years, having worked for the past 2 years as data scientist and machine learning operations engineer at Quanthome in Lausanne.

I am used to supervise juniors, lead machine learning engineering projects (building and deploying models), work on database management projects and have solid experience with MLOps and DevOps duties.

I studied mathematics at EPFL, focusing on statistical and topological data analysis, and machine learning engineering. In parallel to my studies, I worked part-time for 2 years in the Laboratory for Topology and Neuroscience at EPFL on data science projects.

➡️ Check out my portfolio for some more information : https://lucanyckees.framer.website/.

Don't hesitate to contact me via email at [email protected] to discuss opportunities.

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  1. zigzag-homology zigzag-homology Public

    Zigzag persistence studies the topological behavior of point-cloud data by generalizing the setting of persistent homology. We provide a way to compute by using extended persistence.

    Python 2

  2. recommendation_system recommendation_system Public

    Training BERT components for a NLP-powered Product Recommendation System.

    Jupyter Notebook 1

  3. climate-forecasting-v4 climate-forecasting-v4 Public

    Forked from KieranVaudaux/SCV_project3

    Statistical Analysis and Data Visualization for Climate Data in Geneva.

    Jupyter Notebook

  4. data-portfolio data-portfolio Public

    A data science portfolio wrapped as a React app.

    TypeScript

  5. graph-label-propagation graph-label-propagation Public

    The goal of this project is to implement a graph label propagation method to study and classify image data. The method has the particularity that it combines well with other classifiers to achieve …

    Python

  6. topology-metric topology-metric Public

    We implement the computation of linear integral sheaf metrics through topological optimization machine learning. We present applications to image analysis.

    Jupyter Notebook