Jigar Shah

Title: Jigar Shah: Innovator in Dynamic Building Occupancy Forecasting

Introduction: Jigar Shah, based in Franklin Township, NJ, is a notable inventor recognized for his contributions to the field of building management through innovative technology. He holds a patent that significantly advances the way buildings can monitor and predict occupancy, utilizing machine learning techniques for enhanced efficiency.

Latest Patents: Jigar's sole patent, titled "Dynamic building occupancy forecasting using non-personal real time data," focuses on optimizing space usage within buildings. The invention involves a computing platform that processes non-personalized real-time data from specific physical spaces. By normalizing the data from two or more environments, the platform generates accurate occupancy predictions for common areas, allowing local HVAC systems to adjust resources accordingly. This approach not only enhances comfort but also promotes energy efficiency in building operations.

Career Highlights: Currently, Jigar Shah is employed at Bank of America Corporation, where he continues to explore innovative solutions to improve building management and operational efficiency. His professional journey reflects a commitment to applying state-of-the-art technology to practical challenges in the real estate and facility management sectors.

Collaborations: During his career, Jigar has collaborated with talented individuals such as Maharaj Mukherjee and Jennifer Cooper. Their teamwork underscores the importance of collaboration in fostering innovation and tackling complex problems in technological development.

Conclusion: Jigar Shah's innovative work in dynamic building occupancy forecasting exemplifies the potential of machine learning in enhancing operational efficiencies within buildings. His contributions not only reflect his expertise as an inventor but also pave the way for more energy-efficient and user-friendly building management systems in the future.