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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.

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Education

Villanova University, PA, USA

  • Ph.D., Data-Driven Solutions for Urban Hydrology

  • Concentration: Machine Learning, Urban Hydrology, Remote Sensing.

Brandenburg University of Technology, Cottbus, Germany

  • MSc, Environmental and Resource Management

  • Concentration: Hydroinformatics and Water Management

Bangladesh University of Engineering and Technology

  • BSc, Civil Engineering

  • Thesis: Effect of water content on shear strength of soil with high clay content from Dhaka.

Awards, Scholarships and Grants

  • National Water Center (NWC) Innovators Program Fellow 2022.

  • Cooperative Institute for Research to Operations in Hydrology (CIROH) Annual Training and Developers Conference Travel Grant 2023.

  • VUCC (Villanova University Career Center) Professional Development Grant 2023.

  • Tuition Scholar at the VU Department of Civil and Environmental Engineering 2021-2023.

Contact
Information

First Street Technology, Inc

777 3rd Ave, New York, NY 10017

+1 267-721-0317

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