Machine Learning | Deep Learning | Artificial Intelligence | Data Science
🎓 M.Sc. in Computing Sciences (Data Science): Tampere University,Tampere, Finland
🎓 B.Sc. in Information Technology: Metropolia University of Applied Sciences, Helsinki, Finland
Programming: Python, R, JavaScript, MATLAB
Databases: SQL, PostgreSQL, MySQL, MongoDB
Machine Learning: NumPy, Pandas, SciPy, Scikit-learn, Neural Networks, TensorFlow, PyTorch, NLP, Text Analysis, Image Analysis
Deep Learning: CNNs, RNNs, GANs, LSTMs, NLP with Deep Learning, Computer Vision, Transfer Learning, Reinforcement Learning
Visualization: Matplotlib, Seaborn, Plotly, ggplot2, Microsoft Power BI
Version Control: Git, GitHub
Android Development: Android App Development (Java)
Cloud: Microsoft Azure
Test Automation: Unit Testing, Integration Testing
Web Scraping
GIS Mapping: QGIS
1. Mamun, M. A., Aktar, M. N., Mallick, J., Alqadhi, S., & Islam, A. R. M. T. (2026). Hybrid ensemble machine learning for groundwater level prediction in data-scarce northern Bangladesh. Urban Water Journal. [cite: 48, 49]
https://doi.org/10.1080/1573062X.2026.2649885
2. Islam, A. R. M. T., Mamun, M. A., Tasnuva, A., Aktar, M. N., Mishra, M., Al Mamun, A., & Moin, M. J. (2026). Living on the flood line: Constructing and validating a combined multidimensional resilience index for rural riverine floodplain communities. Science of the Total Environment. [cite: 51, 52, 53]
https://doi.org/10.1016/j.scitotenv.2026.181581
3. Islam, A. R. M. T., Mamun, M. A., Uddin, M. N., Sowrav, S. F. F., Alam, M. N. E., Khan, S. R., Chowdhury, M. H., & Choudhury, T. R. (2026). Explainable and physics-informed machine learning for seasonal water quality prediction in the monsoon-driven Padma River Basin, Bangladesh. Environmental Geochemistry and Health. [cite: 55, 56, 57]
https://doi.org/10.1007/s10653-026-03031-z
4. Mamun, M. A., Aktar, M. N., Uddin, M. N., Chowdhury, M. H., Islam, M. S., Rahman, M. S., Uddin, M. R., Hossain, M. J., Zahid, A., Senapathi, V., & Islam, A. R. M. T. (2026). Hybrid data-driven framework for interpretable prediction of nitrate and sulfate risks in coastal aquifers. Science of the Total Environment, 1011, 181190. [cite: 59, 60, 61]
https://doi.org/10.1016/j.scitotenv.2025.181190
5. Islam, A. R. M. T., Varol, M., Mallick, J., Mamun, M. A., Mia, M. Y., Siddique, M. A. B., Islam, M. S., & Aktar, M. N. (2026). Tracing source footprints of heavy metal(oid)s in coastal soils using traditional statistical techniques and machine learning data-driven models. Marine Pollution Bulletin, 222 (Part 1), 118701. [cite: 63, 64, 65]
https://doi.org/10.1016/j.marpolbul.2025.118701
6. Bushra, A., Mamun, M. A., & Islam, A. R. M. T. (2026). Influence of climate drivers on extreme precipitation in Bangladesh: Spatiotemporal patterns and underlying mechanisms. International Journal of Climatology, e70362. [cite: 67, 68, 69]
https://doi.org/10.1002/joc.70362
7. Zesha, J. H., Mamun, M. A., Islam, A. R. M. T., Habib, M. A., & Khan, R. (2025). First probabilistic radiological risk appraisal of Bay of Bengal beach sands: Explicit spatial hot-spot analysis. Marine Pollution Bulletin, 223, 118966. [cite: 71, 72, 73]
https://doi.org/10.1016/j.marpolbul.2025.118966
8. Islam, A. R. M. T., Mamun, M. A., Hasan, M., Aktar, M. N., Uddin, M. N., Siddique, M. A. B., Chowdhury, M. H., Islam, M. S., Bari, A. B. M. M., Idris, A. M., & Senapathi, V. (2024). Optimizing coastal groundwater quality predictions: A novel data mining framework with cross-validation, bootstrapping, and entropy analysis. Journal of Contaminant Hydrology, 269, 104480. [cite: 75, 76, 77]
https://doi.org/10.1016/j.jconhyd.2024.104480
9. Mamun, M. A., Islam, A. R. M. T., Aktar, M. N., Uddin, M. N., Islam, M. S., Pal, S. C., Islam, A., Bari, A. B. M. M., Idris, A. M., & Senapathi, V. (2024). Predicting groundwater phosphate levels in coastal multi-aquifers: A geostatistical and data-driven approach. Science of the Total Environment. [cite: 79, 80, 81]
https://doi.org/10.1016/j.scitotenv.2024.176024
I hold an M.Sc. in Data Science from Tampere University (completed May 2024). I am actively expanding my research portfolio in preparation for doctoral studies and welcome academic and interdisciplinary collaborations🤝.
When I'm not analyzing data or training models, I enjoy painting!
Let's connect and collaborate!
md.abdullah.al.mamun.tu@gmail.com