Scientist & Project Manager (Data-Driven Climate Analytics)

Applied climate and environmental scientist with 10+ years of technical expertise in hydrology, land–atmosphere interactions, and climate-impact modeling, with emphasis on AI-enhanced forecasting systems. Experienced in developing process-based and data-driven models for flood and drought prediction, hydrological–hydraulic coupling (HEC-HMS, HEC-RAS, TUFLOW, LISFLOOD), and downscaling/bias correction of CMIP6 climate projections. Skilled in multi-sensor environmental data fusion, including satellite EO, UAV/UAS platforms, hyperspectral data, and in-situ networks, and in implementing ML/AI architectures (ANFIS, FCM, LSTM, Wavelet–AI hybrids) for environmental monitoring and early-warning systems. Demonstrated capability in leading international R&D projects, building reproducible computational pipelines (Python, R, SQL), and translating complex climate datasets into operational analytics for water security, agricultural resilience, and infrastructure design. Author of 60+ peer-reviewed publications (Nature, Elsevier, Springer, IEEE), with recognized contributions to AI for climate adaptation, hydroclimatic extremes, and predictive environmental intelligence.