I’m Md. Sawrab, an undergraduate student in Statistics at Comilla University. I am passionate about exploring data science, machine learning, and artificial intelligence, and I apply statistical methods and techniques to solve real-world problems.

Throughout my academic, I have focused on building a strong foundation in data analysis, predictive modeling, and programming, while seeking opportunities to work on practical projects that integrate statistical theory with modern machine learning approaches.

My primary research interests lie at the intersection of AI, FinTech, and Public Health, where I aim to leverage data-driven approaches to address real-world challenges.

I am currently working on four research papers in collaboration with Md. Safayet Hossain (Lecturer, Comilla University), Mejbah Ahmed (Global Intelligence Researcher Academy), and Md. Mahfujur Rahman (Independent Researcher), focusing on applications of artificial intelligence in Public Health.

I am preparing to pursue a Master’s degree in Data Science, Data Analytics, or Statistics, with the long-term goal of contributing to impactful research and developing AI systems that are robust, ethical, and beneficial for society.

I am open to collaborations, research discussions, and opportunities that align with my interests in AI, FinTech, and Public Health.

View my Curriculum Vitae →

📰 News and Updates

• July 5, 2025: Submitted two papers on AI-driven Healthcare Diagnostics to EMNLP Industry Track.
• July 3, 2025: Two papers on Generative AI for Public Health accepted to IJCAI GENAI4HEALTH workshop.
• July 1, 2025: Paper on Predictive Models for Financial Risk Assessment accepted to IEEE BHI 2025 Abstracts.
• June 19, 2025: Presented research on LLM Evaluation for Clinical Data Interpretation at CSCW 2025 Posters.
• June 5, 2025: Reached 100 citations on Google Scholar before undergraduate thesis defense.
• June 1, 2025: Work on Graph Flow Networks for Drug-Drug Interaction Prediction accepted to ICANN’25.
• May 25, 2025: Conducted a workshop on AI in FinTech for undergraduate students at Comilla University.
• May 15, 2025: Co-authored a paper on Machine Learning for Fraud Detection submitted to NeurIPS 2025.
• May 10, 2025: Participated in AI4Health Hackathon 2025, awarded 2nd place for predictive health analytics project.
• April 30, 2025: Released open-source code for LLM evaluation metrics for clinical applications on GitHub.
• April 18, 2025: Invited as a speaker at AI4PublicHealth Symposium 2025 on applications of statistical modeling.
• April 5, 2025: Completed a research internship on AI-driven Health Monitoring with a startup.
• March 25, 2025: Mentored a team for Global AI Hackathon 2025, project ranked top 5% in Predictive Modeling track.
• March 10, 2025: Published a blog series on ethical AI in healthcare and financial analytics.
• February 28, 2025: Attended the International Workshop on AI Agents for Public Health.

👩‍💻 Technical Skills

• Programming Languages: Python (Advanced), R, SQL
• DS & ML Tools (Python): NumPy, Pandas, Matplotlib
• Data Science Techniques: EDA, Hypothesis Testing, Sampling, Statistical Inference, Data-driven Decision Making
• Data Analysis & Visualization: MS Excel, Power BI, Tableau, SAS
• Other Tools & Skills: GitHub, VS Code, Azure, Colab, Kaggle

📫 Contact

• Email: your-email@example.com
• LinkedIn: linkedin.com/in/yourprofile
• GitHub: github.com/yourprofile
• Kaggle: kaggle.com/yourprofile