Mohammad Zare-Scientist & Project Manager (Data-Driven Climate Analytics)
Check rate
Experience
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.
Civil Engineer – Flood Modeler
WMA Water
- Developed Python and R-based flood risk prediction models for urban and rural areas.
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.
University Lecturer – Data Science
IU International University of Applied Sciences
- Delivered interactive courses in Statistics, Probability, and Data Science.
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.
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.
Research & Engineering
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.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Agriculture, Education, and Insurance.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Research and Development, Project Management, Business Intelligence, Product Development, and Information Technology.
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.
Skills
- Agricultural & Environmental Hydrology: Watershed Management, Irrigation, Surface-Groundwater Water Resources Managment
- Hydrological & Hydraulic Modeling: Hec-Hms, Hec-Ras, Tuflow, Lisflood
- Climate Resilience & Adaptation: Drought/Flood Prediction, Cmip6 Climate Projections, Scenario Analysis
- Ai & Data Science: Machine Learning, Predictive Modeling, Python, R, Matlab
- Gis & Remote Sensing: Arcgis, Qgis, Uav-Based Monitoring, Satellite Data Integration
- Data Collection & Analysis: Multi-Source Environmental Datasets, Database Management (Sql/Mysql), Visualization (Tableau, Power Bi)
- International Project Management & Capacity Building: Collaborative Research, Stakeholder Engagement, Training, And Knowledge Transfer
Languages
Education
University of Kassel
PhD, Civil and Environmental Engineering · Civil and Environmental Engineering · Kassel, Germany
University of Tehran
PhD student, Water Resources Engineering · Water Resources Engineering · Tehran, Iran, Islamic Republic of
Razi University
Master of Science, Water Resources Engineering · Water Resources Engineering · Kermanshah, Iran, Islamic Republic of
Certifications & licenses
Programming & Data Analytics Certificate
WBS CODING SCHOOL, Berlin, Germany
IPMA Certified Project Management
PCEP – Certified Python Programmer
TUFLOW Advanced Hydrodynamic Flood Modeling
UAV Drone Pilot License
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Mohammad is based in Berlin, Germany.
Mohammad speaks the following languages: English (Advanced), German (Intermediate).
Mohammad has at least 11 years of experience. During this time, Mohammad has worked in at least 5 different roles and for 5 different companies. The average length of individual experience is 2 years and 8 months. Note that Mohammad may not have shared all experience and actually has more experience.
Based on recent experience, Mohammad would be well-suited for roles such as: Scientist & Project Manager (Data-Driven Climate Analytics), Civil Engineer – Flood Modeler, University Lecturer – Data Science.
Mohammad's most recent position is Scientist & Project Manager (Data-Driven Climate Analytics) at Leibniz Institute for Agricultural Engineering (ATB).
In recent years, Mohammad has worked for Leibniz Institute for Agricultural Engineering (ATB), WMA Water, IU International University of Applied Sciences, and University of Luxembourg / RSS-Hydro.
Mohammad is most experienced in industries like Agriculture, Education, and Insurance. Mohammad also has some experience in Professional Services.
Mohammad is most experienced in business areas like Research and Development, Project Management, and Business Intelligence. Mohammad also has some experience in Product Development and Information Technology.
Mohammad has recently worked in industries like Agriculture, Insurance, and Education.
Mohammad has recently worked in business areas like Research and Development, Project Management, and Business Intelligence.
Mohammad holds a Doctorate in Civil and Environmental Engineering from University of Kassel, a Doctorate in Water Resources Engineering from University of Tehran, a Master in Water Resources Engineering from Razi University and a Bachelor in Water Engineering (Irrigation & Drainage) from University of Tabriz.
Mohammad has 5 certificates. Among them, these include: Programming & Data Analytics Certificate, IPMA Certified Project Management, and PCEP – Certified Python Programmer.
The availability of Mohammad needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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