Suvan Dommeti

Special Project Coordinator at Big Data & Analytics Association

Suvan Dommeti is a dedicated student researcher at Yale Law School and serves as the Corporate Relations Director for the Big Data & Analytics Association, where a sponsor base expanded from 3 to 10 companies within four months. Suvan has held multiple software engineering internships, including positions at JPMorgan Chase & Co. and Northwest Bank, focusing on various technologies such as Typescript, Java, C#, and Azure. Experience also includes a fellowship at Bluebonnet Data addressing data challenges for political campaigns and a role as a development intern at SenseICs. Academic achievements include dual degrees in Computer Science and Statistics from The Ohio State University, complemented by experience as a teaching assistant at Harvard University and a previous role as the Ohio River Valley Lieutenant Governor for The Junior State of America Foundation.

Location

Plain City, United States

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Big Data & Analytics Association

The Big Data & Analytics Association (BDAA) was founded at The Ohio State University in 2014. It is the only undergraduate student organization of its kind, prioritizing the education of its members above all else. Weekly BDAA meetings are host to a variety of insightful events, including hands-on workshops in which we teach our members valuable skills they may not get to learn in class, tech-talks in which industry professionals teach our members about the hottest topics in data analytics, and case competitions in which members put the skills they have acquired to the test. Our mission is simple: inspire students to think analytically and empower them through hands on training, all while connecting them to potential employers. To achieve these goals, BDAA aims to become the central communication point from students across disciplines to faculty and professionals in the Data Analytics field. Winner of the 2019 Overall Outstanding Student Organization, BDAA is truly Ohio State's central hub for involvement in data analytics.


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201-500

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