Scatter Podcast interview with Carlos Brown, Data Scientist at Guidehouse, a leading global provider of consulting services to the public and commercial markets. Passionate about his job, Carlos talks to us about the power of telling stories with data. Using open source programming tools, machine learning, statistics, and data visualization, Carlos helps his clients solve challenging business problems. We discuss what life as a data scientist in business consulting is like, data privacy issues, as well as how to begin and succeed in this niche. Enjoy the show!

Links:
Carlos Brown's LinkedIn: https://www.linkedin.com/in/carlos-brown-eit/
Guidehouse: https://guidehouse.com/

Episode 028 - Guidehouse w/ Carlos Brown

On Episode 29 of Scatter Podcast, Joel interviews guest Alex Johnson, Founder of Plotly, a leading platform and library (Python & R) for creating data analytics visualizations.

Episode 029 - Plotly w/ Alex Johnson

Scatter Podcast host Javier Orraca moderates a data science career panel hosted by R-Ladies Irvine. Tune in to hear five ladies in different data science industries discuss their academic and career journeys. This episode is loaded with career advice and recommendations on how to break into analytics and data science. Special thanks to Alyssa Columbus and Madeline Bauer of R-Ladies Irvine for helping make this event a reality! Enjoy the show and please visit the links below for more information.

Panelists on LinkedIn:
Colleen Kelly, PhD: https://www.linkedin.com/in/colleenlkelly/
Leondra James: https://www.linkedin.com/in/leondrajames/
Zhi Yang, PhD: https://www.linkedin.com/in/zhiiiyang/
Tiffany Collins: https://www.linkedin.com/in/punkrawkboss/
Karin Kricorian, PhD: https://www.linkedin.com/in/karinkricorian/

R-Ladies Irvine resources:
Career Panel Video on YouTube: https://youtu.be/nYLu6V3Nvz8
R-Ladies Irvine homepage: https://www.rladiesirvine.org/
GitHub: https://github.com/rladies-irvine/presentations

Episode 030: R-Ladies Irvine's Data Science Career Panel

Scatter Podcast, hosted by Javier Orraca-Deatcu, explores data analytics, insights, and data science in business.

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