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Probably listening to music
🎶
Probably listening to music

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sborms/README.md

Hello 👋

Is it me you're looking for? Probably not, but while you are here let me tell you a bit about myself.

Oh and in case you'd like to reach out to me, one of these platforms is best:

Twitter LinkedIn Medium

Professional

📊 I am a freelance data professional, typically acting the role of data scientist.

⚡ My main learning focus is to expand my skill set in data storytelling, football analytics, MLOps, and NLP.

✍️ I sometimes write about the above and more on Medium and my blog.

Personal

🏠 Lives in Brussels, but likes the occasional travel.

🎸 Spotify's 2021 to 2023 Wrapped lists disclosed Interpol, New Order, The Cure, The National, Nicolas Jaar, Red Hot Chili Peppers, Radiohead, Arctic Monkeys, The Strokes and John Frusciante as the music I seem to be most into. Will 2024 bring something different?

⚽ Enjoys playing and/or watching sports, especially (indoor) football, running, tennis, cycling, and martial arts.

Research

🎓 In 2020, I obtained a joint PhD in Finance & Business Economics from the Université de Neuchâtel and the Vrije Universiteit Brussel.

📝 My research was about sentiment analysis of textual data and the usefulness of it in time series modeling. These are the published papers I have worked on:

Stats

Gift's language

Pinned

  1. futsalfriend futsalfriend Public

    Your digital futsal companion: find a friendly opponent, look for a team to join, analyze vanity metrics, and receive jolly tactical advice

    Python 1

  2. cyclingsimilarity.com cyclingsimilarity.com Public

    Discover similar cyclists (and maybe one day other facets of cycling)

    Jupyter Notebook 1

  3. SentometricsResearch/sentometrics SentometricsResearch/sentometrics Public

    An integrated framework in R for textual sentiment time series aggregation and prediction

    R 80 21

  4. DataWanderers/lyrical-arctic-monkeys DataWanderers/lyrical-arctic-monkeys Public

    A smooth analysis of Arctic Monkeys song lyrics

    Jupyter Notebook 2

  5. talks talks Public

    Overview of past talks and workshops

  6. PythonPredictions/cobra PythonPredictions/cobra Public

    A Python package to build predictive linear and logistic regression models focused on performance and interpretation

    Jupyter Notebook 28 5