Nima Mohammadi Golafshani

Student, Environmental and Resource Management, Brandenburgische Technische Universität Cottbus-Senftenberg

Berlin, Deutschland

Über mich

I am a versatile professional with expertise spanning programming, machine learning, and remote sensing to civil engineering and water resource management. My academic background in environmental and resource management has enriched my understanding of sustainable development, enhancing my prowess in data acquisition and analysis. Proficient in Python and R, I've employed both for complex environmental projects, including time series data analysis and hydrological modeling. My practical experience extends to my internship where I delved into data analysis using remote sensing data and machine learning algorithms. With this multidisciplinary skillset, I can approach challenges holistically, integrating tech advancements with sustainability principles, making me a unique asset in cross-functional teams. Driven by an insatiable curiosity about cloud computing and machine learning DevOps, I am ardently pursuing courses to deepen my expertise in this cutting-edge domain.

Fähigkeiten und Kenntnisse

Engineering
Machine Learning
Consulting
CAD
Data Science
Software Development
Data Analysis
Remote sensing
QGIS
Resource Management
Hydraulics
Energy management
Agricultural Engineering
R programming language
Python
Water management
ArcGIS
GitHub
GitLab
PostgreSQL
Spatial Data Analysis
Cloud Computing
Hydraulic Engineering
Hydrology
Irrigation Equipment
Deep Learning
python
Object Oriented Programming
Spatial Data Transfer Standard
Geospatial Intelligence (GEOINT)
Big Data
Big Data Analytics
Civil Engineering
Project Management
GIS
Analytics

Werdegang

Berufserfahrung von Nima Mohammadi Golafshani

  • 6 Monate, Feb. 2023 - Juli 2023

    Spatial Data Analysis

    inter 3 Institute for Resource Management

    Member of the ADA project team at inter 3 GmbH Institut für Ressourcenmanagement. I use QGIS and Python to identify potential rooftops for planting based on multiple criteria. I developed a model to accurately distinguish between suitable and unsuitable roof surfaces.

  • 8 Monate, Apr. 2022 - Nov. 2022

    Data Analysis and Simulation Research Platform

    ​​​​​​​​​​​​​​​Leibniz Centre for Agricultural Landscape Research (ZALF)

    We are using Remote sensing Data and Machine learning Algorithms to predict the yield product during a cultivation season. The model's performance, most effective features on crop production, the consequence of different hydrological anomalies on the final yield, and methods to improve the models will be evaluated at the end.

  • 2 Jahre, Okt. 2017 - Sep. 2019

    Consulting Engineer

    Organization of Agricultural Engineering and Natural Resources

  • 2014 - 2016

    Expert and Supervisor of Loans and Credits

    Basirandish Mehr Institute of Management Services

    Worked as a private sector inspector and expert in the branches of the Agricultural Bank.

Ausbildung von Nima Mohammadi Golafshani

  • Bis heute 4 Jahre und 9 Monate, seit Okt. 2019

    Environmental and Resource Management

    Brandenburgische Technische Universität Cottbus-Senftenberg

  • 2010 - 2012

    HYDRAULIC STRUCTURES

    Islamic Azad University

  • 2005 - 2009

    Agricultural Engineering-Water

    Islamic Azad University

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Muttersprache

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