Oct 27th, 2021
NYC Data Science Academy Alumnus, Alex Sigman, will share his experience changing his career to data science after graduating with a PhD in Music CompositionAbout this eventAlthough becoming qualified as a data scientist requires a set of core technical competencies, the educational and professional backgrounds of individuals entering the field have become increasingly diverse in recent years. This talk will address ways in which someone with a less typical profile can harness their knowledge and experience and build a career in data science. On Wednesday, Oct 13th at 3PM EST, NYC Data Science Academy Alumnus, Alex Signman will cover Topics such as: 1. Navigating the transition between academia and industry2. Finding the best-fit working environment and role3. Relevant professional development resources4. The day-to-day challenges encountered at an AI music technology startup This talk is non-technical. Some basic math, data science, and programming concepts will be referenced, but it's not critical for following the discussion. REGISTER NOW to receive the webinar link Check out our Courses: https://nycdatascience.com/data-science-bootcamp/ Agenda 3:00 pm - 3:05 pm Overview of the Academy 3:05 pm - 3:50 pm Hands-on workshop given by Dean 3:50 pm - 4:00 pm Q&A and more mingling About Alex Sigman With a unique background in music composition + technology, cognitive science, and data science, Sigman has been active internationally as an interdisciplinary composer, performer, researcher, software engineer, and educator. He earned undergraduate degrees in Music and Cognitive Science at Rice University and his doctorate in Music Composition at Stanford. Sigman was a Data Science Fellow at the NYC Data Science Academy in 2019. Sigman has published and presented extensively on a broad range of research topics, including music information retrieval, innovative auditory warning design, technical and aesthetic aspects of robot opera, and approaches to creative audiovisual media integration. Throughout his career, he has held diverse leadership roles, including being a founding faculty member and Music program director of the International College of Liberal Arts (iCLA) of Yamanashi Gakuin University in Kofu, Japan. Sigman is currently a research and development engineer at AIVA Technologies, an AI music technology startup based in Luxembourg. About NYC Data Science Academy NYC Data Science Academy provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities for data science professionals across all industries. NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. We have graduated over 2000 students at this point! Join our Data Science Bootcamp, and get ready for the next step in your data science career! (https://nycdatascience.com/data-science-bootcamp/) Classes start soon! Apply NOW and secure your seat!