Niladry Chowdhury
Professional Summary
About The Researcher
I am a Healthcare Data Analytics Researcher with extensive experience using artificial intelligence, predictive analytics, and machine learning to improve diagnostic support, strengthen clinical decision-making, and enhance healthcare system performance. Bridging mathematics and business analytics, my work focuses on building robust mathematical and computational solutions to address persistent challenges in clinical care and healthcare operations.
My scholarly outputs include contributions to peer-reviewed healthcare analytics research, IEEE conference publications, and patented healthcare technology innovations. My research program targets oncology analytics, clinical decision support systems, predictive modeling, healthcare operations optimization, and privacy-preserving artificial intelligence. I am deeply committed to developing practical, scalable analytical solutions that directly improve patient outcomes, optimize resource distribution, and support data-driven decision-making.
Areas of Inquiry
Research Focus
Clinical Decision Support Systems (CDSS)
Developing intelligent systems to support clinical practitioners by automating diagnostic checks, predicting disease progression, and highlighting key physiological features. Applies prognostic classification frameworks to help map treatment strategies for complex pathologies like breast cancer and arthritis.
Directly aligns with U.S. National Health Initiatives to lower diagnostic error rates, enhance treatment effectiveness, and alleviate burdens on the healthcare labor force.
Predictive Analytics & Disease Risk Assessment
Implementing advanced machine learning, predictive modeling, and statistical algorithms to analyze patient clinical markers, genetic data, and demographic variables. This research supports early-stage cancer detection (such as AI-assisted liquid biopsy) and identifies key biomarkers for rheumatoid diseases.
Supports the transition towards proactive, preventive care models, lowering national long-term chronic healthcare costs and improving patient longevity.
Privacy-Preserving AI & Collaborative Analytics
Researching federated learning and decentralized training frameworks for medical image and tab data classification. Enables collaborative healthcare machine learning models across multiple hospitals and healthcare networks without exposing sensitive patient health records.
Addresses critical HIPAA requirements and cybersecurity standards for sharing medical datasets, fostering secure cross-institutional scientific collaborations.
Evidence of Scholarship
Selected Publications
Scholarly Impact & Patents
Evidence of Impact & Patents
Analytics-Driven Clinical Decision Support Medical System
Approved by the UK Intellectual Property Office (April 2026). Developed an advanced healthcare system design that integrates analytics-based decision support directly into clinical environments to boost patient triage speed, clinical workflow efficiency, and diagnostic accuracy.
Industrial Automated Processing & Pattern-Application Machine
Approved by the UK Intellectual Property Office (Nov 2025). Designed an automated industrial processing machine using algorithmic pattern matching to improve operational consistency, scale production, and lower structural failure rates in machinery.
Software & Technical Contributions
ClinicPulse Analytics – Healthcare Operational Intelligence Platform
Independent Research & Software Development- Implemented interactive dashboards, revenue leakage estimators, CSV-based data ingestion systems, and automated executive reporting modules.
- Publicly hosted and version controlled under Zenodo archive with registered Digital Object Identifier (DOI: 10.5281/zenodo.21007504).
- Resources: GitHub Repository Live Demo App
Professional Experience
Financial Analyst (CPT)
Jamil Incorporated • Warren, MI, USA- Conducted financial and operational data analysis to identify performance trends and improvement opportunities.
- Developed interactive dashboards and reporting systems using business intelligence suites to support data-driven business decisions.
- Performed forecasting and analytical modeling to support business planning and performance evaluation.
- Contributed to business intelligence initiatives focused on operational efficiency and performance optimization.
Professional Affiliations, Service & Certifications
Leadership, Editorial Boards & Memberships
- Editorial Board Member — Journal of Business and Management Studies.
- Academic Peer Reviewer — Business and Social Sciences.
- Academic Peer Reviewer — Journal of Carcinogenesis.
- Member — International Institute of Business Analysis (IIBA®).
- Member — Institute of Electrical and Electronics Engineers (IEEE).
Recognitions of Research Excellence
- International Royal Golden Award (Best Research Data Analyst) — Eudoxia Research University (2025) — Awarded for outstanding research contributions to academic initiatives.
- Best Volunteer Award — Scientific Research BD (2025) — Recognized for exemplary volunteer contributions and community health impact.
Volunteer Gardener — HUDA Clinic | Detroit, MI, USA
Supported a local nonprofit healthcare clinic by maintaining patient outdoor spaces and green areas, contributing directly to improvements in clinical environments and local community engagement.
Specialized Professional Credentials
- Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics.
- Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics.
- Data Visualization and Dashboards with Excel and Cognos.
- Data Analysis with R.
External Verification
Scholarly Profiles & Digital Footprint
Inquiries & Collaboration
Contact Information
If you are an attorney, peer reviewer, or academic collaborator wishing to discuss my work, request formal recommendation letters, or coordinate evaluations regarding healthcare data science and artificial intelligence, please feel free to reach out.