Data Umbrella: Impact
Here, we share and celebrate the impact that Data Umbrella has had in the data science community.
If you have a win to share, please:
- Email us at: info@dataumbrella .org
- Twitter: tag us with “@DataUmbrella” & #DataUmbrellaImpact
Gloria Macia: Shared open source experience at PyData London
Gloria Macia presented a 5-minute lightning talk at PyData London in July 2022 entitled “Contributing to Open Source and Inclusiveness in Tech”, for which she won the best prize award.
Congratulations to @GloriaMacia_ for winning JP Morgan’s Python award at PyData London. I am going to take a closer look at @DataUmbrella now, for sure! Thanks Gloria for sharing this project with us. More information at: dataumbrella.org
I am happy to share that the JP Morgan Python award at PyData London 2022 went to Gloria Macia, who gave a highly engaging explanation of the Data Umbrella project. The project’s mission is to provide a welcoming and educational space for under-represented persons in the fields of machine learning, data science, and artificial intelligence. A great project I will look into in more detail. Thank you Gloria!”
Juan Martín Loyola: Joins scikit-learn Triage Team
Juan Martín Loyola joined the Data Umbrella Latin America sprint in June 2021, and he was an invited contributor to the Data Umbrella Africa and Middle East sprint in October 2021. In this interview, learn more about Juan Martín’s journey in open source. From a computer user to first contributing to PyMC, then Google Summer of Code, Data Umbrella’s Latin America #ScikitLearnSprint, to Triage Team member with scikit-learn.
We are happy to welcome Triage Team Member Juan Martín Loyola from Argentina.— scikit-learn (@scikit_learn) December 31, 2021
Learn more about @jmartinloyola:
• journey thru open source
• CS -> @pymc_devs -> #GSoC -> @DataUmbrella sprint -> scikit-learn Triage
• faves: resources, books, music, +https://t.co/vcCs2U2Z2x pic.twitter.com/Q8um3o6F8j
Amanda Dsouza: Contribution to scikit-learn
In this open source contribution, Amanda is one of the contributors to deprecate the
sklearn.datasets.load_boston function. The design of this dataset casually assumes that people prefer to buy housing in racially segregated neighborhoods.
One of the contributors on this significant PR is @amanda_dsouza, from multiple #ScikitLearnSprint events.— Reshama Shaikh (@reshamas) September 29, 2021
As an organizer, it is immensely gratifying to see & share impact in community work. @codeforsociety https://t.co/SCllQNoXwU
Maren Westerman: Contribution to scikit-learn
With today's sprint I made it into the scikit-learn top 100 contributers list by number of commits. This says nothing about the quality of my work but I'm still proud of my achievement. 😁— Maren Westermann (@MarenWestermann) March 12, 2022