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@biof509

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mskar/README.md

Greetings!

My name is Martin Skarzynski.

I am a data📊 scientist👨‍🔬 and machine🤖 learning🧠 engineer👨‍💻 with a broad scientific background that ranges from biochemistry to epidemiology. I use the JavaScript🕸 Python🐍 and R®️ programming languages along with UNIX shell🐚 tools🛠 to extract and convey insights from data.

I write✏️ about topics related to data science, machine learning, and computer programming on my blog.

My professional information is summarized in my Résumé / Curriculum Vitae.

Technologies💻

Languages😛

I speak

  • English🇺🇸
  • French🇫🇷
  • Polish🇵🇱
  • Russian🇷🇺
  • Spanish🇪🇸

Education🎓

I hold

  • an MPH in Epidemiologic and Biostatistical Methods for Public Health and Clinical Research and a certificate in Data Science from Johns Hopkins University,
  • a PhD in Tumor Biology and a teaching certificate from Georgetown University,
  • an MS in Biotechnology from Jagiellonian University in Poland, and
  • a BA in Biology from St. Mary’s College of Maryland.

Mission🚀

My primary research interest is in understanding health risk factors by combining scientific expertise from diverse fields with machine intelligence.

I believe I am uniquely equipped to bridge the gaps between scientific disciplines and deliver on the promise of data science in health research.

My preferred tools are Python and R, open source programming languages kept on the cutting edge by their active and supportive communities.

Through research and teaching, I am constantly improving my ability to obtain, tidy, explore, transform, visualize, model, and communicate data.

I aim to utilize my technical skills and science background to become a leader among the next generation of multidisciplinary data scientists

Popular repositories Loading

  1. Introduction_to_Data_Mining_R_Examples Introduction_to_Data_Mining_R_Examples Public

    Forked from mhahsler/Introduction_to_Data_Mining_R_Examples

    R Code to accompany the book Introduction to Data Mining by Tan, Steinbach and Kumar (Code by Michael Hahsler)

    Jupyter Notebook 4 3

  2. setup setup Public

    Installation Instructions: https://github.com/mskar/setup#installation

    Shell 3 2

  3. dsbp dsbp Public

    Data Science Best Practices

    R 2

  4. ptpython ptpython Public

    Forked from prompt-toolkit/ptpython

    A better Python REPL

    Python 1 1

  5. cookiecutter cookiecutter Public

    Makefile

  6. spring2020 spring2020 Public

    Forked from biof309/spring2020

    Jupyter Notebook