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Geoffrey Gelman

Chief Data Scientist at Model Meetings

Geoffrey Gelman is a highly experienced data scientist and financial executive with a diverse background in technology and business management. Currently serving as Chief Data Scientist at Model Meetings and Science House, Geoffrey focuses on enhancing meeting productivity and developing data-driven solutions. Previous roles include Data Scientist at Talkspace, where Geoffrey implemented systems and statistical analyses to improve product features and customer experiences, and Chief Financial Officer at Zignage, overseeing financial operations in the digital signage industry. Additional experience encompasses managing intellectual property at Cantor Fitzgerald and co-founding a search fund at Cardinal & Crimson Capital. Geoffrey has a solid educational foundation with an MBA from Harvard Business School and a degree from the Massachusetts Institute of Technology.

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Model Meetings

A suite of proprietary tools and strategies designed to systematically detect and reduce meeting waste throughout an organization to reclaim time, talent, and spirit. Our decades of expertise in business and technology unearthed that meetings are often some of the biggest obstacles to achieving future goals. We innovated solutions that turn these obstacles into the easiest and biggest wins. Model Meetings is effective and doable. Our tailored approach is scalable and flexible – saving time and money, increasing productivity, and strengthening culture. We leverage our technology and experience to that integrate seamlessly into your operations and culture with minimal disruption and security of data. Our pilot program has proven to be a game changer in all functional areas , showing significant improvements in a matter of weeks. We bring business and technology expertise from our work with Fortune 500 companies. Our team members have successfully delivered enterprise strategic projects through cross functional teams at global companies, and held senior roles in a broad range of functions including finance, strategy, IT, operations, marketing, engineering, R&D and management.


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