Michael Galarnyk
Research Scientist Intern at Georgia Institute of Technology
Atlanta, Georgia, United States
Summary
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Rockstar🎓
Top School
Top expert inComprehensive Data Science and Machine Learning Skills
Michael Galarnyk is a research-driven machine learning scientist and educator with a decade of experience building data-driven solutions across industry and academia. Currently a part-time PhD student at Georgia Tech and a Research Scientist Intern at Adobe, he applies ML and NLP to financial markets while bridging production research from firms like Balyasny and Intel. He has a strong teaching and content-creation background—authoring data science courses, instructing at Stanford and UCSD, and maintaining popular tutorial repos that translate Coursera and Python lessons into practical code. His roots in nanoengineering and publications from UCSD give him a cross-disciplinary edge in experimental design and rigorous data analysis. Michael is seeking full-time, non-contract roles where he can combine applied research, developer-facing content, and production ML systems.
10 years of coding experience
8 years of employment as a software developer
University of California, San DiegoDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Georgia Institute of Technology
Stackoverflow
3,483reputation
4.0mreached
37answers
1question
server
top-5%
anaconda
top-5%
scikit-learn
top-5%
python
top-5%
tree
top-5%
conda
top-5%
Github Skills (25)
data-visualizations10
python10
r10
pandas10
data-visualisation10
statistical-inference10
jupyter-notebook10
data-visualization10
data-analysis10
tree9
rs9
conda9
scikit-learn9
server9
tera9
Programming languages (4)
Github contributions (5)
mGalarnyk/datasciencecoursera
Dec 2016 - Feb 2021
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Role in this project:
Data Scientist
Data ScientistContributions:472 commits, 18 PRs, 446 pushes in 4 years 2 months
Contributions summary:Michael contributed to this data science repository by adding R files for the Coursera R Programming course. These files include functions for tasks like ranking hospitals based on mortality rates ("rankhospital.R"), finding the best hospital in a state for a given outcome ("best.R"), and ranking hospitals by outcome across all states ("rankall.R"). The user also worked on R code related to data manipulation, mean calculations, and plots, demonstrating data analysis and visualization skills.
data-analysispythonsciencedata-sciencemachine-learning
mGalarnyk/Python_Tutorials
Dec 2015 - Nov 2022
Python tutorials in both Jupyter Notebook and youtube format.
Role in this project:Data Scientist
Data ScientistContributions:522 commits, 4 PRs, 473 pushes in 7 years
Contributions summary:Michael's commits focus on incorporating pandas and pandas_datareader libraries for data manipulation and analysis within a Jupyter Notebook. The user is adding code that imports these libraries and uses them to read in a CSV file. The code shows exploratory data analysis. Further, the user is modifying the code to create a plot and is performing calculations on the data.
pythonjupyter-notebooknotebookyoutubejupyter
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