As a hydro-climatologist, I am driven by an unwavering passion to explore the intricate nexus between hydrology and climate change. Through implementing state-of-the-art numerical models, data science and AI techniques, I completed several projects and scientific research that are centered on the pressing challenges of hydrological extremes. While assessing the risks associated with devastating natural hazards, such as floods and droughts, I have acquired a vast repertoire of invaluable skills encompassing watershed science, climate change science, hydraulic/hydrological modeling, GIS and remote sensing, as well as data science and programming languages in Python and Google Earth Engine platforms. With such remarkable expertise, I am now able to perform massive computations and undertake complex big data manipulation with ease, and also produce visually impressive representations of my findings.

Regarding my educational and professional qualifications, I obtained a MSc in Water Resources Engineering from the University of Moratuwa (2020-2022) and BSc in Civil Engineering from Kabul University (2014-2018). Apart from regular educational degrees, I participated in many online volunteering activities and virtual courses. I volunteered as a Camper for IWA World Water Congress (2021) and successfully completed all courses and assignments.

Upon my graduation, I joined UNICITI as Hydrological Modelling Specialist, starting from December 2021. UNICITI is French international consultancy and works on urban climate resilience and making sustainable cities through heritage revival across Asia. Working at UNICITI exposed me to real-world projects from which I acquired valuable understanding in climate change impact assessment, geospatial data manipulation, hydrodynamic modeling, and quantification of natural hazard, exposure, vulnerability, risk. Some sample of work include application of QGIS to prepare multi-hazard maps by combining individual hazards, e.g. flood, drought, forest fire. Through applying advanced QGIS expressions and geoprocessing, our team quantifies the vulnerability and exposure of different sectors (e.g., roads, buildings, population) to such hazards. We also apply Google Earth Engine (GEE) scripts for several applications such as preparation of land use, land surface temperature, digital elevation models (DEM), satellite precipitation, indices (NDVI, NDWI, NDBI), flood extent, and flood depth estimation from satellite measurements.