Tri Dang

Director Data Analytics at Kyruus Health

Tri Dang has a diverse work experience spanning various industries and roles. Tri started their career as a Student intern at JPMorgan Chase. Tri then worked as a Network Center Technician at AT&T, where they resolved technical DSL problems and ensured customer satisfaction. Tri later joined Cardinal Scale Mfg. Company as an Embedded Software Engineer, leading software teams and completing multiple projects within two years.

Tri then pursued an MBA at Babson College while also working as a Graduate at Verizon's Babson Consulting Program. Tri continued their career at Gweepi Medical as a Development Manager, followed by roles at Coderack as a Web Application Developer. At Coderack, they helped start-ups launch businesses with production-ready web and mobile apps, managed remote software engineers, and translated business models into engineering specifications.

Tri then transitioned to Staples, where they worked as a Senior Financial Analyst and Finance Manager. Tri designed a data architecture proposal for a migration project and rebuilt a web app, improving efficiency and reducing processing time. After that, they joined Epion Health, Inc. as the Head of Technical Operations, VP of Data and System Integration, and Director of Data and Information System. Tri played a key role in doubling the company's annual recurring revenue and managing a data team responsible for engineering and analytics, building data platforms on Google Cloud.

Currently, Tri is working as the Director of Data Analytics at Kyruus Health.

Tri Dang completed a Bachelor's degree in Electrical and Computer Engineering from Worcester Polytechnic Institute in 2008. Later, from 2012 to 2014, Tri Dang pursued a Master of Business Administration (M.B.A.) with a focus on Marketing from Babson College, F.W. Olin Graduate School of Business. Additionally, Tri Dang obtained certifications in "Applying Advanced LookML Concepts in Looker" from Google Cloud Skills Boost and "Developing Data Models with LookML" from Qwiklabs in 2022.

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