Mohammad Z. - Scientist & Project Manager (Data-Driven Climate Analytics)

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Falkensee, Germany

Experience

Jul 2023 - Aug 2025

2 years 2 months

Potsdam, Germany

Scientist & Project Manager (Data-Driven Climate Analytics)

Leibniz Institute for Agricultural Engineering (ATB)

Developed AI-powered analytics tools for drought prediction using CMIP6 data.
Integrated UAV and satellite imagery to optimize predictive models for drought resilience.
Designed a decision support system (DSS) for integrated water resources management.
Partnered with industry and research institutions to deliver environmental monitoring solutions.
Managed international projects, aligning data science innovations with policy and business goals.

Apr 2023 - Jun 2023

3 months

Sydney, Australia

Civil Engineer – Flood modeler

WMA Water

Developed Python and R-based flood risk prediction models for urban and rural areas.

Apr 2022 - Mar 2023

1 year

Potsdam, Germany

Scientist & Project Manager (Data-Driven Climate Analytics)

Leibniz Institute for Agricultural Engineering (ATB)

Developed AI-powered analytics tools for drought prediction using CMIP6 data.
Integrated UAV and satellite imagery to optimize predictive models for drought resilience.
Designed a decision support system (DSS) for integrated water resources management.
Partnered with industry and research institutions to deliver environmental monitoring solutions.
Managed international projects, aligning data science innovations with policy and business goals.

Oct 2021 - Mar 2022

6 months

Germany

University Lecturer – Data Science

IU International University of Applied Sciences

Delivered interactive courses in statistics, probability, and data science.

Dec 2019 - Mar 2022

2 years 4 months

Luxembourg

Project Lead and R&D Scientist – Hydrological Modeling & AI

University of Luxembourg/ RSS-Hydro

Directed an AI-based flood-prediction platform supporting insurance and policy decision-making.
Delivered data-driven risk maps integrating geospatial and hydrological datasets.
Collaborated with EU agencies and insurers to quantify exposure to extreme climate events.
Translated academic research into deployable, industry-ready tools for climate risk analytics.

Aug 2017 - Nov 2019

2 years 4 months

Potsdam, Germany

Scientist & Project Manager (Data-Driven Climate Analytics)

Leibniz Institute for Agricultural Engineering (ATB)

Developed AI-powered analytics tools for drought prediction using CMIP6 data.
Integrated UAV and satellite imagery to optimize predictive models for drought resilience.
Designed a decision support system (DSS) for integrated water resources management.
Partnered with industry and research institutions to deliver environmental monitoring solutions.
Managed international projects, aligning data science innovations with policy and business goals.

Mar 2014 - Jul 2017

3 years 5 months

Germany

Research & Engineering Experience

University of Kassel & ATB

Conducted research in AI-powered hydrological modeling and data science.
Built data pipelines combining satellite, and GIS inputs for water resource management.

Summary

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.