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Hi, I'm Nicolas Mondon, software engineer and data journalist based in Paris

I'm mostly doing quantitative analysis and data visualisations. For this, I use lots of:

  • Python (pandas, numpy, scikit-learn, jupyter, spacy) and node.js (puppeteer) for scraping and data analysis (statistics, NLP, machine learning)
  • Typescript, React, Svelte, d3, SVG, canvas, WebGL, topojson, RxJS or firebase for data visualisations

But a part of my job is also to industrialize and build tools to improve our processes, reuse components through dedicated libraries or scaffolders.

Here is a short selection of recent projects I've made:

  • design, development

  • a live dashboard for the french local elections
  • design, implementation (including a routine to retrieve and process the data)

  • a search engine to analyse political alliances
  • processing, design, implementation

  • processing + design + implementation

  • for this piece, I've analyzed thousands of images from fashion collections with a tensorflow model to extract silhouettes. Then I've used a quantization algorithm to get color palettes for each brand. Finally, I build a scrollytelling visualization with arcs patterns to show the generated palettes.

  • a tool to visualize the evolution of Ligue 1's ranking, made in d3

I'm also doing OSS, here are some of my projects:

  • kohonen: a JS implementation of the SOM algorithm
  • fulgur: A declarative vis library in React I'm working on
  • plugnplay: A store for React based on RxJS that I use in each one of my React projects

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