Balaga raghuram
Balaga Raghuram is an award-winning machine learning researcher and engineer known for pioneering AI-driven real estate analytics in the UAE. He has the strong expertise in the statistics and machine learning domain.
Professional background
Balaga Raghuram worked as a machine learning researcher at an UAE-based award-winning proptech startup Research 247-UAE, where he developed advanced ML models related to UAE real estate analytics and also led the core team that built an AI-powered real estate analytics platform covering all seven emirates. His work focused on integrating real-time property data, economic indicators, and alternative datasets to deliver high-accuracy, real-time insights for investors, agencies, and policymakers.
Recognition and awards
He received a prestigious Excellence Award for his contributions to AI-powered real estate analytics at Research 247-UAE. His leadership helped the company gain Gartner recognition as a leading PropTech innovator, and his work has been featured by outlets such as BigNewsNetwork, MENAFN, and other regional media platforms.
Academic Contributions
Raghuram holds MSc distinction in Mathematics, Statistics, Operations Research and Econometrics and is an alumnus of the University of Birmingham, which underpins his advanced quantitative and ML work. He has presented Research 247-UAE’s AI approaches at conferences including an Oxford University event, where he discussed how AI and machine learning enhance real estate valuation and investment decision-making.
Focus areas
Across his roles, he has specialized in building predictive models, automated valuation systems, and real-time property intelligence platforms, emphasizing responsible AI, bias mitigation, and transparent analytics. His profile highlights a broader interest in applying advanced statistics and ML to high-impact domains, with a strong track record in both technical execution and thought leadership.
