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

Scatter Podcast Scatter Podcast by Javier Orraca

    • Zaken en persoonlijke financiën

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

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

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

    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

    • 1 u. 36 min.
    Episode 029 - Plotly w/ Alex Johnson

    Episode 029 - Plotly w/ Alex Johnson

    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.

    • 23 min.
    Episode 028 - Guidehouse w/ Carlos Brown

    Episode 028 - Guidehouse w/ Carlos Brown

    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/

    • 55 min.
    Episode 027 - Kung Fu Factory w/ Joel Dayrit

    Episode 027 - Kung Fu Factory w/ Joel Dayrit

    After several months of break, Scatter Podcast is back and excited to introduce its new co-host, Joel Dayrit. Joel is an Associate Data Analyst at Kung Fu Factory, an independent gaming developer of popular mobile games based in Los Angeles, CA. At Kung Fu Factory, Joel analyzes everything from player activity to in-game data, looking for insights into behavior and finding opportunities to capitalize on creating engagement and giving users an improved experience.

    Joel is one of the smartest people that I've collaborated with and he pivoted his career to data science after 14 years with Symbol Sciences, a Philippines based hardware and solutions provider for automatic identification and data collection systems. Joel's analytics tools of choice include the R programming language and Excel. Aside from analytics, Joel enjoys photography, robotics, and LEGOs. :-)

    Welcome, Joel, to the Scatter Podcast team!

    Links:
    Joel's LinkedIn: https://www.linkedin.com/in/joel-dayrit/
    Kung Fu Factory: http://www.kungfufactory.com/

    • 43 min.
    Episode 026 - RStudio w/ Jonathan Regenstein

    Episode 026 - RStudio w/ Jonathan Regenstein

    Scatter Podcast interview with Jonathan Regenstein, Director of Financial Services at RStudio. Having spent several years at J.P. Morgan where he worked alongside quantitative analysts and researchers, Jonathan turned from Excel to R for more robust reporting, visualizations, and reproducibility of financial models. After joining RStudio, he continued to develop his R programming skills and eventually authored "Reproducible Finance with R - Code Flows and Shiny Apps for Portfolio Analysis."

    For anyone interested in careers at the intersection of Finance and Data Science, or anyone interested in learning more about R, this episode is certainly a treat. We cover a lot popular packages, programming best practices, and upcoming tools that will enhance your modeling work flows. He offers a ton of valuable insights, be sure to follow him on LinkedIn or Twitter, and enjoy the show!

    Links:
    Jonathan's LinkedIn: https://www.linkedin.com/in/jkregenstein/
    Jonathan's Twitter: https://twitter.com/jkregenstein
    Reproducible Finance with R: https://www.amazon.com/Reproducible-Finance-Portfolio-Analysis-Chapman/dp/1138484032
    RStudio: https://rstudio.com/
    Shiny: https://shiny.rstudio.com/

    • 46 min.
    Episode 025 - Business Science w/ Matt Dancho

    Episode 025 - Business Science w/ Matt Dancho

    Scatter Podcast interview with Matt Dancho, CEO and lead Data Science instructor at Business Science University. I'm currently enrolled in Matt's R Shiny 102 course and have really enjoyed his training style full with sample code and video explanations of his modules. If you're interested in developing your analytics and data science chops with R, Matt's offering a special 15% discount for his 4-course R machine learning bundle (discount link below!). Matt is an incredible educator and passionate about adding value to the business organization through machine learning and artificial intelligence. Enjoy the episode, follow Matt on LinkedIn, and subscribe to Scatter Podcast if you enjoy what you're hearing!

    Links:
    Business Science: https://www.business-science.io
    Matt's LinkedIn: https://www.linkedin.com/in/mattdancho/
    15% off R 4-course bundle: https://university.business-science.io/p/4-course-bundle-machine-learning-and-web-applications-r-track-101-102-201-202a/?coupon_code=scatterpodcast

    • 1 u. 6 min.

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