
About
Scientist with 5+ years of experience in advanced analytics, predictive modeling, and data-driven solutions for hydrology and climate sciences. PhD-qualified with a deep technical background spanning engineering, statistics, and AI-based analytics, offering a unique blend of strategic leadership and hands-on expertise. Expert in developing/deploying ML/DL models, including physics-informed models, time-series forecasting, and stochastic processes for large-scale data. Python expert, with experience handling large geospatial datasets, satellite imageries, and high-dimensional sequential data. Recognized for pioneering integrative ML/DL research on spatio-temporal datasets, leveraging Bayesian inference and probabilistic modeling to drive informed decision-making.


Education
Villanova University, PA, USA
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Ph.D., Data-Driven Solutions for Urban Hydrology
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Concentration: Machine Learning, Urban Hydrology, Remote Sensing.
Brandenburg University of Technology, Cottbus, Germany
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MSc, Environmental and Resource Management
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Concentration: Hydroinformatics and Water Management
Bangladesh University of Engineering and Technology
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BSc, Civil Engineering
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Thesis: Effect of water content on shear strength of soil with high clay content from Dhaka.
Awards, Scholarships and Grants
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National Water Center (NWC) Innovators Program Fellow 2022.
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Cooperative Institute for Research to Operations in Hydrology (CIROH) Annual Training and Developers Conference Travel Grant 2023.
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VUCC (Villanova University Career Center) Professional Development Grant 2023.
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Tuition Scholar at the VU Department of Civil and Environmental Engineering 2021-2023.