Md Sharfuddin
MBA in MIS | AI & Data Analytics Researcher | Business Analyst
Published Researcher | Patent Holder | Guest Lecturer
Bridging business strategy, intelligent information systems, and data-driven decision science. Specializing in machine learning and predictive analytics to optimize enterprise MIS frameworks.
Research Interests & Focus
My academic investigation bridges management methodologies and deep analytical technologies, aimed at making enterprise frameworks predictive, automated, and secure.
Biography & Academic Focus
Md Sharfuddin is an AI-driven MIS researcher and business analyst specializing in strategic IT alignment, machine learning-based decision engines, and data security. With an academic background bridging finance and management information systems, his research addresses critical bottlenecks in modern organizational workflows.
His work focuses on implementing predictive analytics to drive sustainable consumer habits, constructing robust supply chain schedules, and mitigating cybersecurity threats. His recent UK-approved patent showcases his capacity to engineer hardware-level intrusion prevention systems integrated directly with enterprise MIS logs.
Artificial Intelligence
Machine learning integration, automated validation, neural fraud detection, and algorithm optimization.
Management Information Systems
Enterprise MIS structural alignment, ERP log monitoring, and IT strategic synchronization.
Data Analytics
Converting complex datasets into visual dashboards, indexing patterns, and driving corporate decisions.
Business Intelligence
Predictive reporting schemas, data warehousing, metadata integrity, and competitor analysis.
Predictive Analytics
Forecasting consumer habits, supply chain disruptions, system failures, and risk scenarios.
Supply Chain Analytics
Applying regression model sets to optimize raw container flow, delivery pipelines, and warehouse safety.
Foundations & Credentials
08/2025 – Present
Business Analyst
UpSkill Consultancy, New York, USA
Spearheading AI-driven MIS implementations, optimizing organizational workflows, and designing predictive analytic dashboards to guide executive decision frameworks.
2023 – 2025
MBA in MIS
International American University, Los Angeles, USA
Specializing in Management Information Systems, data validation paradigms, and predictive forecasting pipelines. Researching intersections of artificial intelligence and strategic data structures.
Featured Research & Innovations
Core academic contributions and patented industrial technologies.
Patented Innovations
1. Cyberattack Detection Device: An advanced threat-detection device operating at the network hardware level to monitor system logs and mitigate lateral movements.
2. Desktop Display Stand: An ergonomic display stand designed for electronic tablets and screens.
Design Registration Nos: 6471605, 6509489
starFeatured Publications
Desktop display stand for electronic tablets and screens
Ergonomic desktop display stand engineered to securely house and display electronic tablets and touchscreen devices.
Leveraging artificial intelligence in business decision-making: A study on predictive analytics in retail management
Study on predictive analytics in retail management utilizing artificial intelligence.
Key Achievements
Significant milestones in data analytics, academic research, and intellectual property.
Data Analytics Excellence
Honored with the Data Analytics Excellence Award (2025) for contributions to decision science and predictive systems.
UK Patents Approved
Design registrations approved in 2025-2026 for cyberattack detection devices and electronic tablet stands.
Invited Guest Lecture
Delivered guest lectures to postgraduate scholars at Virscend University, California on database security patterns.
16 Research Papers
16 research publications spanning international journals, Springer series, and global academic indexing platforms.
Invited Academic Lectures & Presentations
Invited Guest Lecture
Virscend University, Irvine, California, USA
"Enhancing Data Reliability in Management Information Systems through Artificial Intelligence-Driven Validation and Error Detection Models"
Invited by Virscend University to deliver a recorded guest lecture for MBA students based on my published research examining how Artificial Intelligence can enhance data reliability through automated validation and error detection mechanisms within Management Information Systems.