Megan L.

Marketing Research Analyst at FutureAnalytica

Megan L. is a skilled marketing research analyst currently employed at FutureAnalytica since January 2023, where the role involves identifying potential new markets and monitoring, analyzing, and improving business operations. Prior to this position, Megan L. worked as a market research specialist at Smart Outreach Solutions from March 2015 to December 2021, focusing on forecasting marketing and sales trends, preparing and presenting reports to management, devising and evaluating data collection methods, and gathering data on consumers, competitors, and market conditions.

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Irving, United States

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FutureAnalytica

FutureAnalytica (FA), a cutting-edge tech company with offices in New York (USA) and Delhi (India), is set to disrupt the world of AI/ML & data science, with the world’s first & only 'End-2-End No-Code AI Marketplace'. FA's AI platform really puts your data to work, and makes your innovation at least 100x easier, faster & economical by getting all the elements under 1-roof; from data segregation to AI/ML & data science, to advanced analytics capabilities like predictive, sentiment, text/speech recognition, NLP, and more — now available in a single No-Code platform that’s easy to use, highly customizable, agile, fully-compliant, and secure. The FA platform empowers companies to take better control of their futures, with an ability to create complex data science & machine learning models in 6-10 days, instead of 6-10 months, and deploy them from the AI Studio to the AI Marketplace with just One-Click! We're a platform of platforms, that will save your organization up to 1000 hours or more, in building & deploying your 1st AI solution. Our Mission: Help organizations, end-to-end, in their data & AI/ML journey through a cutting-edge holistic platform that combines best technologies & best practices, along with offering on-demand expert advisory. Our Vision: Accelerate the world’s transition into AI, for smarter & data-driven decision-making, and reduce the timeframe, for even the most complex of deployments, by at least 30x.


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Employees

11-50

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