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[SEASON 2 EP 5] Finding Community in Data Science with Reshama Shaikh

Presented by

Reshama Shaikh, Will Nowak, Triveni Gandhi

About this talk

Now that we’ve covered how open source works, we’re looking to pull back the curtain and see who’s actually contributing. In part 2/2 of our open source series, we sat down with Reshama Shaikh, a statistician and key organizer of scikit-Learn sprints, to learn about the ups & downs of open source contributing, as well how a Sprint in Nairobi benefits Fortune 500 companies in the US. Reshama Shaikh is an independent data scientist/statistician and MBA with skills in Python, R and SAS. I worked for over 10 years as a biostatistician in the pharmaceutical industry. Further Reading: Stack Overflow Developer Survey; Open Source Contributors: https://insights.stackoverflow.com/survey/2019#developer-profile-_-contributing-to-open-source How to Organize a Scikit Learn Spring by Reshama Shaikh: https://reshamas.github.io/how-to-organize-a-scikit-learn-sprint/ Reshama Shaikh’s Website: https://reshamas.github.io/ Contributing to scikit-Learn: https://scikit-learn.org/stable/developers/contributing.html Gitter scikit-Learn: https://gitter.im/scikit-learn/scikit-learn scikitLearn Mailing List: https://mail.python.org/mailman/listinfo/scikit-learn
Dataiku

Dataiku

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Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 700 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, generative AI customer proof, and everything in between.
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