Designed location-based analytics for over 25 Phase 1 projects (roadmap & expansion strategies), brand acquisitions, and scalability assessments for private equity firms and US/International retail brands   Architected analytics stack that connects live mobile location data, POS transactions, demographic and psychographic information in a cloud-based platform that is used by commercial real estate deal makers and retail brand executives to evaluate existing/new sites, negotiate leases, and assess financial performance Founded the company’s internship program which provides NYC business and GIS college students with training on how to effectively leverage business intelligence software, build statistical models, understand commercial real estate fundamentals, and participate in client presentationsBuilt enterprise level backend that manages input parameters which are executed in analytic applications such as cannibalization reports, sales forecasting models, market maps, and site/deal databasesResponsible for designing and executing the analytic roadmap which outlines company’s data/technology best practices, data security and governance, ETL/ELT processes, vision for acquiring future technologies, and construction of manuals and guides

Built custom trade areas and leveraged customer data to identify suitable locations and revenue potential for nutrition campaigns Constructed models to assess warehouse performanceBudgeted, bought, and deployed new GIS technologies for the marketing analytics department