E-mail: habib@ipdibd.com & mdhabibur970@gmail.com
WhatsApp: ‭+880 16 8676 6137‬‬‬
LinkedIn: https://www.linkedin.com/in/habibur-rahman37/
Facebook: https://www.facebook.com/habibur780
ORCID ID: https://orcid.org/0009-0002-6920-1188
ResearchGate: https://www.researchgate.net/profile/Md-Rahman-1705
Academia.edu: https://juniv.academia.edu/RahmanMdHabibur
Google Scholar: https://scholar.google.com/citations?hl=en&user=OHq73rsAAAAJ

I am Md. Habibur Rahman, a Senior Research Assistant and Data Analyst, dedicated to advancing public health through data-driven research. I specialize in data analysis, statistical modeling, and visualization, utilizing tools like Python, R, and Stata to uncover insights that drive impactful public health solutions. My work has contributed to studies on major health issues, including cardiovascular disease and infectious diseases, and I’ve co-authored several publications that address critical health challenges. Currently, I am pursuing further studies to deepen my expertise and expand my contributions to public health research.

EDUCATION

Master of Science (M.Sc.) in Applied Statistic and Data Science
Jahangirnagar University, Savar, Dhaka, Bangladesh

Bachelor of Science (B.Sc.) in Applied Statistics
East West University, Dhaka, Bangladesh

Coursework highly relevant:
Advanced Probability, Bayesian and Decision Theory, Survival Analysis, Econometric Statistics, Time Series Modeling, Applied Regression, Design of Experiments, Statistical Methods, and Mathematics courses including Calculus and Linear Algebra.

Research Interests

Observational and Epidemiological Studies: Designing and analyzing real-world studies to uncover patterns in disease progression, treatment outcomes, and public health indicators

Public Health and Clinical Research: Contributing to multidisciplinary investigations on cardiovascular diseases, metabolic disorders, and infectious diseases with a focus on actionable healthcare solutions.

Artificial Intelligence in Health Data: Applying machine learning and deep learning models to enhance early diagnosis, risk prediction, and outcome forecasting in clinical settings, particularly in low- and middle-income countries

Publications

1. Ahmed M, Shiblee SA, Rahman MdH. Effect of trimetazidine on functional capacity in patients with ischemic cardiomyopathy (TOFCAPI). 2024; [National Institute of Cardiovascular Diseases, Dhaka, Bangladesh].
2. Rahman MdH, Shiblee SA, Hassan MK. Exploring the Prevalence and Determinants of Malnutrition Among Children Under 5 Years in Bangladesh: A Comprehensive Analysis of the 2017 Survey Data. 2023 Nov 7;8(11):a409–20. doi: http://doi.one/10.1729/Journal.37473
3. Islam AKMM, Ahmed M, Rahman MdH. Effect of Intravenous Iron on Functional Capacity in Patients with Ischemic Cardiomyopathy. J Inv Clin Cardiol. 2023;5(2):32-37.
4. Ahmed M, Chowdhury AW, Rahman MdH, et al. Short-Term and Long-Term Outcomes among COVID-19 Survivors: A Multi-Center Prospective Observational Study. IJCM. 2024 Nov;15(11).

Academic Research Project

USING A MACHINE LEARNING MODEL FOR EARLY DETECTION OF HEART FAILURE RISK IN BANGLADESH
Supervisor: Dr. Syeda Shahanara Huq, Professor, Department of Statistics and Data Science,
Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. Email: sshuq@juniv.edu

Professional Project

Prevalence of Metabolic Syndrome among Bangladeshi Adolescents May 2024 – Present
• Studying the prevalence of metabolic syndrome in apparently healthy school-going adolescents aged 10–18 years in Bangladesh.
• Conducting representative sampling and data analysis to identify risk factors and prevalence rates.

TRANSFORM II Randomized Controlled Trial (Sirolimus-coated Balloon Versus Drug-eluting Stent in Native Coronary Vessels) September 2023 – Present
• Multicenter, international randomized clinical trial comparing Magic Touch Sirolimus drug-coated balloon (DCB) versus
everolimus-eluting stent in native coronary vessel disease.
• Evaluating non-inferiority on target lesion failure (TLF) and superiority on net adverse clinical events (NACE) at 1 year.
• Patients followed clinically for up to 5 years to assess long-term outcomes.

Effect of Intravenous Iron on Functional Capacity in Patients with Ischemic Cardiomyopathy January 2022 – December 2022
• Conducted a randomized open-label study with 80 heart failure patients with iron deficiency and reduced ejection fraction.
• Compared intravenous ferric carboxymaltose (FCM) plus standard therapy versus standard therapy alone over 12 weeks.
• Observed significant improvements in 6-minute walk distance, LVEF, and NT-proBNP levels in the IV iron group.

Short-Term and Long-Term Outcomes Among COVID-19 Survivors: A Multi-Center Prospective Observational Study August 2021 – August 2022
• Investigated clinical, serological, and epidemiological characteristics of COVID-19 survivors over multiple phases.
• Evaluated persistence of symptoms and long-term effects, especially among patients with comorbidities and severe cases.

Effect of Trimetazidine on Functional Capacity in Patients with Ischemic Cardiomyopathy (TOFCAPI) January 2022 – February 2023
• Prospective observational study involving 200 patients with ischemic cardiomyopathy and LVEF < 35%.
• Compared modified-release trimetazidine plus standard therapy versus standard therapy alone over one year.
• Measured exercise capacity and left ventricular function at 1- and 6-month follow-up.