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Scalable Analytics for Enterprise Decisions: From MapReduce to Holiday-Aware Demand Forecasting

Published

Five-stage data-to-decision workflow bridging MapReduce/Spark infrastructure with feature-first predictive modeling — tree-ensemble models for tabular enterprise data, two case studies.

Relevance: Directly maps to my enterprise data engineering work: pipeline scale, feature engineering discipline, and tree-ensemble modeling for business decision support align with the financial systems and AI governance focus of my doctoral research.

Data Engineering · Data Science · Machine Learning · Enterprise Analytics

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Securing Connected Systems: A Layered Security Framework for WSNs, IoT/CPS, and Virtualized Networks

Published

Unified security framework across wireless sensor networks, IoT/CPS, and virtualized infrastructure — common threat taxonomy, cryptographic defense analysis, and three implementation case studies.

Relevance: Bridges my enterprise systems background with doctoral research: threat modeling across layered architectures, post-quantum cryptography, and security engineering for distributed infrastructure.

Security · Networking · Systems Research

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