0323_Power BI Implementation: A Guide to the Other 90%fd46d76bac19042a0876832a1377db87Dewey 2110E, Dewey Hallfalse15218064000002018-03-23T08:00:0015218388000002018-03-23T17:00:00Meetings2018/03/0323_power-bi-implementation-a-guide-to-the-other-90.htmltrueOnceGoergen Institute for Data Science Seminar Series: Nathan Sanders7217c493ac19042a71a836ad63685c4aTITLE: Data Science in Hollywood: A Diversity of Challenges and Statistical Solutions ABSTRACT: The marketplace of ideas in data science is a fluid medium for identifying fruitful pairings of challenging problems and novel methodological approaches. These pairings often arise independently from diverse theoretical disciplines and practice areas. Data scientists in industry benefit from an expansive mutual exchange of ideas with academic domains across science, math, and engineering.     The entertainment industry is an excellent case study in this exchange, having a rich offering of challenges in executive decision making and consumer behavior prediction, but little historical precedent for quantitative approaches to solutions. In this colloquium, I will share a range of challenges encountered over several years of helping to launch a pioneering data science group in this industry and some of the solutions we have developed. These experiences span approaches including predictive machine learning, natural language processing, image recognition and deep learning, and Bayesian inference, applied to problems including advertising attribution from campaign and consumer survey data, time series extrapolation of natural language trends identified in social media data, and making inferences about consumers both at massive scales and under the constraint of limited data. Throughout, I will draw connections that illustrate the productive interchange of ideas from academia to industry. BIO: Nathan Sanders is the Vice President of Quantitative Analytics at Legendary Entertainment (https://www.legendary.com/), the Hollywood studio behind Pacific Rim, Intersteller, Kong: Skull Island, and other blockbuster films, and oversees the Data Science and Primary Research teams there. Nathan joined Legendary in 2013, helping to establish their first-in-the-industry, Boston-based Applied Analytics division which informs the creative process around Legendary's films and executes targeted marketing campaigns worldwide. Nathan did his undergraduate work at Michigan State University and earned his PhD in Astronomy and Astrophysics from Harvard University, where he developed Bayesian models of the light curves of core-collapse supernovae. Nathan is a co-founder of the science communication programs Astrobites (http://astrobites.org/), the reader's digest for the astrophysical literature, and ComSciCon (http://comscicon,org/), the workshop series on science communication for graduate students.Wegmans 1400false15218172000002018-03-23T11:00:0015218208000002018-03-23T12:00:00Talks2018/03/0323_goergen-institute-for-data-science-seminar-series-nathan-sanders.htmlfalseOnceCIRC Symposium Series3ff3f425ac19042a6895ffae29634fadWegmans Hall 1400 (auditorium), River Campusfalse15212142000002018-03-16T11:30:0015212196000002018-03-16T13:00:00Talks2018/03/0316_circ-symposium-series .htmlfalseOnce