Environmental Scientist looking for position in green industries

PROFESSIONAL SUMMARY

Computational environmental scientist and PhD researcher with industry-relevant experience in Python-based climate data analysis, GIS/remote sensing, spatiotemporal modelling, and machine-learning workflows for coastal and environmental systems. Experienced with ERA5 climate data, compound climate extremes, shoreline-change analysis, sea-level-rise scenarios, and reproducible geospatial tools that support environmental monitoring and decision-making.

CORE TECHNICAL SKILLS

Climate & environmental data

ERA5 weather datasets, CMIP6 sea-level-rise scenarios, compound climate extremes, flood-impact analysis, environmental modelling, coastal and shoreline dynamics

GIS & remote sensing

QGIS, ArcGIS Pro/ArcGIS Platform, geospatial analysis, raster/vector processing, shoreline digitization, buffers, overlays, reprojection, map production, quality control

Python & data science

Python, pandas, NumPy, GeoPandas, xarray, rasterio/rioxarray, scikit-learn, PyTorch, Matplotlib, statistical modelling, time-series forecasting, automation

Data formats & reproducibility

NetCDF, GeoJSON, shapefiles, CSV, Git/GitHub, Zenodo, reproducible workflows, open-source scientific software, technical documentation

PhD in Marine and Environmental Sciences | University of Szczecin — Szczecin, Poland

Oct 2023 – Present

• Develop machine-learning forecasting pipelines for spatiotemporal coastal and environmental datasets under future sea-level-rise scenarios.
• Integrate wave climate, sea-level variability, shoreline dynamics, Python-based modelling, geospatial workflows, scientific visualization, and uncertainty analysis.
• Session convenor at the European Geosciences Union General Assembly 2026.

MSc in Civil Engineering | Northwestern Polytechnical University — Xi'an, China

Jun 2019 – Jul 2022

• Built quantitative foundations in hydrology, fluid mechanics, numerical analysis, and engineering-based modelling

RESEARCH PUBLICATION

Manually Annotated Drone Imagery Dataset for Automatic Coastline Delineation

Scientific Data

2025-03-05 | Journal article

DOI: 10.1038/s41597-025-04685-7

Contributors: Kamran Tanwari; Paweł Terefenko; Jakub Śledziowski; Andrzej Giza

Coastal zones vulnerability evaluation in the southern Baltic Sea: Shoreline dynamics and land use/land cover changes over five decades

Science of The Total Environment

2025-05 | Journal article

DOI: 10.1016/j.scitotenv.2025.179345

Part of ISSN: 0048-9697

Contributors: Kamran Tanwari; Paweł Terefenko; Xiaohao Shi; Jakub Śledziowski; Andrzej Giza

Explainable sequence-aware deep learning based decadal shoreline modelling in the Southern Baltic until 2050

Environmental Modelling & Software

2026-05 | Journal article

DOI: 10.1016/j.envsoft.2026.106954

Contributors: Kamran Tanwari; Xiaohao Shi; Jakub Śledziowski; Andrzej Giza; Paweł Terefenko

SCANDEM-Coast - open-source tool for UAV LiDAR point cloud classification in coastal environments

SoftwareX

2025-09 | Journal article

DOI: 10.1016/j.softx.2025.102270

Part of ISSN: 2352-7110

Contributors: Paweł Terefenko; Kamran Tanwari; Jakub Śledziowski; Andrzej Giza; Xiaohao Shi

Complete publications list on ORCID: https://orcid.org/0000-0002-4811-2613