Raffaele Riva

Raffaele Riva is a data scientist working with various companies like Goldman Sachs, Amazon, and Facebook. He is currently an Executive Director in the Advanced Analytics group at Goldman Sachs.

Raffaele Riva has been part of the Big Data community for around ten years, starting his career in Luxembourg, where he led the development and deployment of large-scale analytics systems. He has since worked at various organizations in Dublin. Raffaele is passionate about applying data science and computational modeling to real-world business problems.

Raffaele holds a Ph.D. in Computer Science and Engineering from Dublin City University, where he was a Knight Fellow. He has authored and edited several books, including ‘Data Mining with R’ and ‘Data Mining with EMBRACE.’ Raffaele Riva is an active member of the R Stack community. He blogs regularly on his blog, Data Science For Business, and has also written for the R Journal and the R News.

Raffaele is a published author of several books, including ‘Data Mining with EMBRACE’ (Wiley), ‘Computational Modelling Using MATLAB’ (Wiley), and ‘Data Mining with R’ (CRC Press). He is also a frequent speaker at international conferences. His interests include applied mathematics, behavioral finance, computational modeling, machine learning, and data mining.

Raffaele Riva is a regular speaker at Meetups in New York City and data science conferences worldwide.

He’s been featured in the R-Ladies NYC group, a non-profit organization aimed at women interested in data science and programming. They organized free events to help women learn more about data science through hands-on projects and discussions with women who work in the industry.

Alcoa Foundation’s Women & Girls Initiative is part of Alcoa’s ongoing commitment to help empower women, girls, and communities around the world. The Women & Girls Initiative is a global program that inspires and empowers girls by educating, mentoring and providing life-changing opportunities. He’s been selected to speak on the Data Science Panel at the Women in Big Data Conference 2017 on June 21 in NYC. See related link to learn more.


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