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HongHaiPV/README.md

Hi 👋, I’m Vu-Hong-Hai or Hai (for short),

  • 💼 I’m currently working as a freelancer working mostly in Data Science, sometimes I play Software Engineer role.
  • 👨🏻‍💻 I’m working on improving my online presence.
  • 🌱 I’m learning MLOps.

My Tech Stack

  • Daily drive: Python (Jupyter Notebook, Pandas, Numpy, PyTorch, PySpark, FastAPI), R, Git, SQL.
  • Few times a week: CI/CD (mostly Github Actions), Spread Sheets, Hugging Face, BigQuery, TF.
  • Few times a month: Tableau, Docker, MySQL, C++, Java, LaTex.
  • Need some warm-up: Matlab/Octave, Redis, MongoDB, MSSQL, Oracle DB.
  • Acquiring: Kubernetes, Go.

Portfolio (expanding rapidly)

Why is the list so short? The combination of working on proprietary projects and the lack of attention to personal branding (fixing).

Certificates

Research interests

  • Causal Inference + ML, NLP, Type II (still at the reading stage).

Want to connect?

  • Email: honghaipvu at gmail dot com.
  • LinkedIn: /vhhphan (I'm shy, please accompany a note).

Pinned

  1. ml-zip ml-zip Public

    A Python library implementing Entropy encoding for statistical models (mostly MLs)

    Python

  2. BixiDataAnalysis BixiDataAnalysis Public

    A series of data analyses for BIXI open data in R, including EDA, predictive analysis, and more

    RMarkdown

  3. concordia-bigdata-project concordia-bigdata-project Public

    Jupyter Notebook

  4. deepul deepul Public

    Forked from rll/deepul

    Jupyter Notebook

  5. theoretical-principles-for-deep-learning-UdeM-Mila-notes theoretical-principles-for-deep-learning-UdeM-Mila-notes Public

    Forked from mitliagkas/theoretical-principles-for-deep-learning-UdeM-Mila-notes

    Scribed notes for the [IFT6085] Deep Learning Theory course at UdeM

    TeX

  6. resume resume Public

    A minimalist resume template in LaTex

    TeX