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Mr. Sagar Ganapaneni

Mr. Sagar Ganapaneni

Achiever's Success Story

Mr. Sagar Ganapaneni: Driving Industry Impact and Innovation at the Intersection of Marketing, Product, Data and AI

Mr. Sagar Ganapaneni is a pioneering leader in applied data science and AI, spearheading innovation to drive business growth. With over a decade of experience across industries, he has delivered cutting-edge solutions that transform organizations by unlocking growth opportunities and operational efficiency. The core principles underlying his work are driving business impact, advancing the field through thought leadership, and developing the next generation of AI leaders.

Currently, at Intuit, he leads analytics for data-powered services, including SMB MediaLabs, a first-of-its-kind B2B media network for small businesses. Previously, at Teladoc Health, he played a key role in supporting the rapid growth of the data science team. At Cypress, he established a global cross-functional data science charter while delivering numerous innovative data science solutions with greater business impact.

Beyond corporate roles, he actively engages with exclusive leadership forums such as the AIM Leadership Council, Gartner Peer Community, and AI 2030. He shapes industry standards through key committees in trade groups like IAB and MMA Global. His work has been featured in Forbes Councils, Analytics India Magazine, and at leading conferences such as POSSIBLE, Ai4, B2SMB Leadership Summit, and more.

At Texas A&M University’s Mays Business School, he contributes to developing an industry-ready capstone program as an MS Analytics Advisory Board member. He also supports initiatives like Google’s KaggleX Fellowship and participates in various mentoring forums to nurture diverse talent, helping to shape the next generation of AI professionals and leaders.

While his professional achievements are noteworthy, it is his human values that truly inspire. he aspires to be remembered for his positive societal impact, fueling his advocacy for ethical AI and responsible data use. His passion for technology, dedication to innovation, and commitment to inspiring others make him a leading figure in data science and AI.

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