Ram Ghadiyaram
JP Morgan Chase, Vice President
Plano, Texas, United States
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Ram Ghadiyaram is a seasoned Data Analytics & AI professional, mentor, and innovator with over 20 years of extensive software engineering experience in Big Data, Analytics, and Fintech. He has led major data initiatives at global financial institutions, consistently delivering transformative solutions that harness the power of large-scale data processing. Ram’s technical acumen is highlighted by his recognition as an Apache Spark , Scala Gold Badge award, reflecting his deep expertise in distributed computing and high-performance analytics. He also holds multiple gold badges on Stack Overflow, underscoring his commitment to technical excellence and community-driven knowledge sharing. Driven by curiosity and a passion for innovation, Ram continues to shape the future of Data engineering and AI in the financial sector and beyond.
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Safeguarding Personal Finances: A PySpark-Driven Risk Modeling Framework Inspired by Institutional F
This paper explores the application of advanced risk modeling techniques—Monte Carlo, historical, hybrid, and stress testing with economic capital—to personal finance, drawing lessons from the collapses of Lehman Brothers, Barings Bank, and Washington Mutual. Using PySpark, it demonstrates how individuals can mitigate financial risks, such as savings depletion and retirement shortfalls, by accurately estimating Value at Risk (VaR) and preparing for extreme scenarios. The study offers a scalable, data-driven approach to enhance financial resilience and decision-making for individuals.
Revolutionizing Homeopathy: Integrating Data Analytics and AI/ML for Precision Remedy Selection
This paper proposes a framework that leverages machine learning algorithms to dynamically adapt and refine homeopathy remedy recommendations based on patient-specific data, integrating feedback loops for continuous improvement and personalized treatment optimization.
The Rise of Smart Villages:Connecting Communities through Data Analytics,AI/ML and Cloud Technology
Smart village initiatives harness advanced technologies like data analytics, AI/ML, and cloud computing to enhance rural infrastructure, optimize resource usage, and improve citizen services. These initiatives establish an intelligent, multi-service IoT network tailored for rural communities. This review provides an in-depth analysis of the platform’s components, technologies, and applications, offering insights into the future development of smart villages.
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