About Me
Niladry Chowdhury
Data Analytics Researcher specializing in healthcare systems optimization, predictive modeling, and AI-driven clinical decision support. Experienced in applying machine learning and big data analytics to improve healthcare efficiency, reduce operational costs, and enhance clinical decision-making. Contributed to peer-reviewed publications, IEEE conference research, and patented system designs in medical and industrial automation. Research aligns with national priorities in digital health transformation and AI-enabled healthcare infrastructure.
Professional Experience
Business Analyst (Professional Experience / CPT) – Jamil Incorporated |Warren | MI |USA
- Analyzed business and financial data to identify trends and performance gaps
- Developed Excel-based reports and dashboards to support decision-making
- Assisted in data-driven forecasting and operational analysis
Academic Qualifications
Masters of Science in Business Analytics – Trine University, Angola, Indiana, USA
Bachelor of Science in Mathematics – National University, Sylhet, Bangladesh
Awards
- International Royal Golden Award — Best Research Data Analyst — Eudoxia Research University | 2025
Awarded for excellence in research data analytics and contributions to academic research initiatives
Best Volunteer Award — Scientific Research BD | 2025
Recognized for outstanding volunteer contributions and community impact
Memberships
Editorial Board Member— Journal of Business and Management Studies.
Reviewer — Business and Social Sciences
Member —IIBA® (International Institute of Business Analysis)
Member — IEEE Professional Member
Voluntery Experience
Volunteer Gardener — Huda Clinic | Detroit, MI, USA
- Supported a nonprofit healthcare clinic by maintaining green spaces and outdoor areas for patient use
- Contributed to improving the clinic environment and community engagement initiatives
Scholarly contribution
- Nashid, S., Papia, S. K., Chowdhury, N., Mia, M. S., & Hossain, M. I. (2023). Advanced Business Analytics in Healthcare: Enhancing Clinical Decision Support and Operational Efficiency. Business and Social Sciences, 1(1), 1–8. https://doi.org/10.25163/business.1110345
- Chowdhury, N., Mia, M. S., Hossain, M. I., Papia, S. K., & Nashid, S. (2023). Integrating Business Analytics into Public Health Management: A Data-Driven Approach. Business and Social Sciences, 1(1), 1–7. https://doi.org/10.25163/business.1110346
- Akhir, A., Rahman, F., Islam, A., Chowdhury, N., Mia, M. S., & Hossain, M. I. (2024). Strategic Role of Business Analytics in Healthcare Systems Performance Optimization. Journal of Primeasia, 5(1), 1–8. https://doi.org/10.25163/primeasia.5110347
- Biswas, A., Chowdhury, N., Eshra, S. A., & Ghosh, T. K. (2024). Predictive Analytics for Critical Infrastructure Cybersecurity: A Machine Learning–Based Threat Intelligence Framework. Journal of Information Systems Engineering and Management, 9(3), 56. https://doi.org/10.52783/jisem.v9i3.56
- Hoque, M. E., Nurani, B., Chowdhury, N., Rahaman, M. S., & Amin, M. M. (2025). Business Analytics in the Era of Big Data: Driving Informed Decision-Making. Open Access Library Journal, 12, e12887. https://doi.org/10.4236/oalib.1112887
- Hossan, T., Haque, B. M. T., Sakib, M. S., Chowdhury, N., & Amin, M. M. (2025). Ethical Challenges in Business Analytics: Balancing Data Privacy and Profit. Open Access Library Journal, 12, e12957. https://doi.org/10.4236/oalib.1112957
- Mia, M. S., Md Iqbal Hossain, Ispita Jahan, Chowdhury, N., & Sonia Nashid. (2025). Smart Supply Chains Applying AI-Based Business Analytics for Operational Efficiency. Paradise, 1(1), 1–8. https://doi.org/10.25163/paradise.1110383
- Alam, M. F., Iqbal, M. A., Emon, S. B., Rafid, S. T. S., Chowdhury, N., & Alam, M. A. (2026). AI-Assisted Prognostic Classification in Breast Cancer Using Deep Neural Networks. 2026 7th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), 11412414. https://doi.org/10.1109/ICMCSI67283.2026.11412414
Authorship
- Analytics-Driven Clinical Decision Support Medical System UK Design Patent – Granted (April 2026) Design No: 6504594 | UK Intellectual Property Office Co-inventors: Shomitro Kumar Ghosh, Sufi Ahmed Hamim Developed a healthcare system design integrating analytics-based decision support to improve clinical workflow efficiency and diagnostic assistance. Industrial Automated Processing and Pattern-Application Machine UK Design Patent – Granted (Nov 2025) Design No: 6484395 | UK Intellectual Property Office Co-inventors: Anik Biswas, Md Imran Khan Designed an automated industrial system to improve production consistency and operational efficiency through pattern-based processing.
- Industrial Automated Processing and Pattern-Application Machine UK Design Patent – Granted (Nov 2025) Design No: 6484395 | UK Intellectual Property Office Co-inventors: Anik Biswas, Md Imran Khan Designed an automated industrial system to improve production consistency and operational efficiency through pattern-based processing.
Certifications
- 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.