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Prizes include: $100 Amazon gift card for the winning team, T-shirts, Mugs and much more! Please note it is General Assembly on Broadway, 4th floor. Please note in order to gain entry, you MUST sign up on both the meetup AND General Assembly site here: https://generalassemb.ly/education/data-science-trivia-night-w-accenture/new-york-city/94123 So you think you know data science? Get out your pens, notebooks and thinking hats and get ready for the ultimate battle of brains - prizes include Amazon gift cards, T-shirts, mugs and more! Bring your friends and participate in the most thrilling data science trivia scene in all of NY. Get those points and earn bragging rights (we promise, it's very cool). Will your team be the winner? Tentative Schedule: 6:30pm: Pizza + Beer networking; 7:00pm: ML Basics by Katie Gross, Data Scientist at Dataiku; 7:35pm: Data Science Trivia Night with EJ Pandey, Full Stack Engineer and Data Scientist at Accenture Talk Abstract: Machine learning (ML) isn’t just for data scientists anymore; it’s in the mainstream for analytics and business teams who want to get ahead, but it can feel impenetrable. Where to start? Join Dataiku Data Scientist Katie Gross as she outlines key machine learning terms and the applications of different ML algorithms. Feel free to ask questions at our Q&A at the end of the talk. Speaker bio: Katie Gross is a Data Scientist at Dataiku, where she helps clients build out enterprise AI solutions through Dataiku’s data science platform, DSS, and also leads user trainings and works on developing new product features. Previously, she worked as a data scientist at a marketing science firm, Schireson and did freelance data science work for IBM and a dating app, Radiate. Prior to her data science life, Katie spent three years as a CPG consultant to Wall Street analysts at Nielsen. Katie holds a BA in Economics from Colgate University and also completed the Galvanize Data Science bootcamp program in New York City. MC bio: A Consulting Engineer at heart, EJ initially drifted away from Software Engineering and ventured into the roles of a Data Scientist through rapid prototyping and client engagements. Since then, he has been using his multi-faceted exposure in tech to build intelligent applications powered by data, lead small teams in fast-paced startup environments, and serve as a bridge between engineering and data science teams. Outside of his day job at Accenture New York, EJ is also the technical co-founder of early stage startups Veniqa and Qarece, and a Nepalese R&B Artist.
Please note that in order to gain entry, you MUST sign up on both the meetup AND General Assembly site here: https://generalassemb.ly/education/machine-learning-for-e-commerce-advertising-w-pepsi/new-york-city/94909 Tentative Schedule: 6:30pm: Pizza + Beer networking; 7:00pm: TBD by Data Scientist at Dataiku; 7:30pm: Machine Learning for Ecommerce Advertising by Jordy Kieto, Machine Learning Engineer at Pepsi. Talk Abstracts: Machine Learning for Ecommerce Advertising by Jordy Kieto, Machine Learning Engineer at Pepsi: E-Commerce Market Attribution is a framework designed to determine how advertising / marketing affects sales across E-Commerce platforms. Corporations spend millions of dollars advertising on platforms such as Amazon & Instacart. This process is often done manually, and we’re often blind to the impact of our marketing actions. Our neural network quantifies the multiplicative effect of specific ads on sales for specific products, and also allows us to calculate the ROI for particular actions, telling us the optimal amount to spend. TBD by Data Scientist at Dataiku: Speaker bios: Jordy Kieto is a Machine Learning Engineer at Pepsico and Data Scientist at Columbia University. Previously, he worked as a Software Engineer in Toronto before switching into Data Science. He studied English and Drama during university, and made the transition into tech through self-study and attending hackathons. This passion for the liberal arts has translated into a desire to ethically use data for bettering lives.