Gerardo Tello
AI HIDSI Junior Data Scientist
Honolulu, Hawaii, Peru
Summary
👤
Senior🎓
Top SchoolGerardo Tello is an AI-focused junior data scientist and PhD student in Atmospheric Sciences based in Honolulu, combining nine years of research and applied experience in physical oceanography and ENSO monitoring. With a Physics bachelor's and software engineering training, he bridges scientific inquiry and robust Python tooling, contributing notable fixes and features to high-profile open-source projects like xarray and matplotlib. His work has strengthened core data structures and plotting validation, reflecting a pragmatic attention to reproducibility and user experience in scientific computing. At HIDSI and the University of Hawaii he applies machine learning to geophysical problems, drawing on a background across Peru’s leading atmospheric institute and field-oriented GIS roles.
9 years of coding experience
7 years of employment as a software developer
Software Engineering, Software Engineering at Universidad Nacional Mayor de San MarcosDoctor of Philosophy - PhD, Atmospheric Sciences and Meteorology, Doctor of Philosophy - PhD, Atmospheric Sciences and Meteorology at University of Hawaii at Manoa
English, Spanish
Github Skills (17)
data-visualizations10
pytest10
python10
matplotlib10
testing10
xray10
data-visualisation10
plot10
numpy10
xa10
data-visualization10
data-science9
data-structure9
pandas9
data-structures9
Programming languages (5)
Github contributions (5)
pydata/xarray
Aug 2019 - Sep 2020
N-D labeled arrays and datasets in Python
Role in this project:
Data Scientist
Data ScientistContributions:1 review, 7 commits, 6 PRs in 1 year
Contributions summary:Gerardo made several contributions focused on enhancing and refining the `xarray` library, primarily centered on the core `DataArray` object. Their work included implementing new initialization methods for empty and full DataArrays, improving handling of coordinate systems, and adding tests to ensure functionality. The user also made bug fixes and improvements to error handling in the data array class, improving the overall robustness of the library. Their efforts likely focused on expanding the data manipulation capabilities within `xarray`.
pythonnetcdfnumpydaskarrays
matplotlib/matplotlib
Jul 2020 - Jul 2020
matplotlib: plotting with Python
Role in this project:Data Scientist
Data ScientistContributions:11 commits, 2 PRs, 7 comments in 3 days
Contributions summary:Gerardo contributed to documentation improvements and addressed typos within the matplotlib codebase. They focused on refining documentation strings and examples, ensuring accuracy and clarity for users. Furthermore, the user introduced validation checks to color inputs and addressed minor code style issues, thereby improving the overall code quality and user experience. This work involved modifications across several files, including core library components and example scripts.
pythondata-sciencegtkdata-visualizationplotting
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