Suryasivaji Killi is an AI and financial analytics professional with approximately four years of experience spanning predictive analytics, demand forecasting, credit risk modeling, financial analysis, and data engineering. He combines expertise in machine learning, business intelligence, and quantitative finance to develop data-driven solutions that improve operational efficiency, forecasting accuracy, and strategic decision-making.
Currently, Suryasivaji serves as a Data Engineer GenAI at GMH Holdings, where he architects AI-powered forecasting and analytics systems for a hospitality portfolio of more than 150 properties. His work includes developing machine learning-based demand forecasting models, real-time anomaly detection systems, and generative AI solutions that transform complex analytical outputs into actionable business insights. These initiatives have contributed to significant improvements in forecasting accuracy and decision-making speed.
In addition to his corporate role, he is the Founder and CEO of Next Stock Inc., an AI-driven logistics startup focused on neighborhood-level demand forecasting and intelligent inventory optimization for micro fulfillment and circular supply chains. He leads product strategy, forecasting engine development, inventory optimization design, and business growth initiatives aimed at improving supply chain efficiency and reducing operational waste.
Previously, Suryasivaji worked as a Financial Analyst at S4Cloud, where he developed predictive financial models, Monte Carlo simulation frameworks, and working capital optimization strategies that enhanced forecast reliability and improved capital efficiency. Earlier in his career, he served as a Credit Risk Analyst at KT Investments, building credit risk scoring models, stress testing frameworks, and portfolio risk monitoring systems for retail lending operations.
Suryasivaji holds a Master of Science in FinTech and Analytics from Stevens Institute of Technology and a Bachelor of Technology in Mechanical Engineering from Jawaharlal Nehru Technological University. His technical expertise includes machine learning, time series forecasting, financial modeling, credit risk analytics, data engineering, and business intelligence technologies, including Python, SQL, Tableau, TensorFlow, PyTorch, and Scikit-learn.